How to Integrate OBIEE and Essbase / EPM Suite (OOW 2012)Mark Rittman
Oracle plans to integrate Oracle Essbase and the EPM product suite with Oracle Business Intelligence Enterprise Edition and Oracle Fusion Middleware. So with the latest release of Oracle Business Intelligence Enterprise Edition, 11.1.1.6, how do you connect Oracle Business Intelligence Enterprise Edition to your Oracle Essbase databases and how well does it handle Oracle Essbase features such as scenario and account dimensions, changing outlines, and unbalanced/parent-child hierarchies? How well do Oracle Business Intelligence Enterprise Edition’s ad hoc reporting tools handle Oracle Essbase hierarchies and member selections in the 11.1.1.6 release? Can we still embed Oracle Business Intelligence Enterprise Edition dashboards in Oracle Workspaces? Learn the answers in this session.
The document discusses new features and enhancements in Oracle Business Intelligence 12c, including:
- Improved front-end usability features like an updated home page, enhanced sorting, and view properties access in compound layouts.
- New data visualization options like Oracle Data Visualization for ad-hoc analysis and mashups of spreadsheets with existing subject areas.
- Changes to installation, configuration, and architecture like a simplified installation process and separation of environment metadata from configuration.
- Upgrades are supported from 11g using a new Baseline Validation Tool to test and compare systems before and after upgrades.
Presentation at Collaborate'11, Orlando, April 2011 on OBIEE 11g product architecture and internals. Delivered by Mark Rittman from Rittman Mead (http://www.rittmanmead.com)
Upgrading To OBIEE 12C - Key Things Your Need To Know AboutGeraint Thomas
Just before OpenWorld 2015 kicked off last week Oracle announced the release of the much anticipated Oracle Business Intelligence 12c, something we have been eager to have a look at for some time now. Every major release of BI tends to bring with it a lot of nice new features and 12c doesn’t disappoint. There are a host of new features and improvements in 12c and, having recently done a 11g to 12c upgrade, we thought it would be a good idea to take you through what has changed from 11g from an administration and end-user point of view.
Oracle BI Enterprise Edition is a business intelligence tool that allows organizations to collect, present, and deliver data to employees in easy-to-understand formats like tables and graphs. It enables better decision making and more efficient processes. Key capabilities include analyses, dashboards, filters, agents, conditions, actions, and scorecards. Users access Oracle BI EE through a web-based interface, signing in with credentials provided by their organization.
Obiee 12c: Look under the bonnet and test driveGuillaume Slee
Presentation from the Infratects Top Gun conference in Berlin, 2016. We'll look at the simplified installation, architecture and administration that OBIEE 12c offers and examine the 11g to 12c out-of-place upgrade.
Introduction to OBIEE Metadata
Use of Administration Tool
Concepts of Physical Layer
Concepts of Business Model and Mapping Layer
Concepts of Presentation Layer
Building of these 3 layers
The document provides an overview of Oracle's BI product OBIEE (Oracle Business Intelligence Enterprise Edition), formerly known as Siebel Analytics. It discusses Oracle's BI strategy and architecture, as well as key features of OBIEE configuration, development, and the 11g release. Links are provided for additional product details on Oracle's website.
About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
The document discusses the architecture of Oracle Business Intelligence (OBIEE). It describes the key components including the BI Server, BI Scheduler, Repository, and data sources. It explains how queries from clients are processed, cached, and passed to underlying databases. It also covers security approaches like data level security and object level security. Repository (.rpd) files are described as containing all metadata and security rules to define OBIEE solutions. Approaches to OLAP like ROLAP, MOLAP, and hybrid OLAP are also summarized.
The document provides guidelines for installing OBIEE 12c including prerequisites, infrastructure setup, installing the BI platform, and configuring the RCU and BI application. It outlines 16 steps for setting up the required infrastructure by installing Fusion Middleware 12c, downloading and extracting the BI platform files, and running the configuration wizard. The document also includes 4 steps for configuring RCU and 11 steps for configuring the OBIEE application.
OBIEE Online Training Classes started by proven industry experts with an aim to present Quality Training. Providing Online IT Education and training.
Our team has a great exposure and experience in delivering the training programs for leading Corporate across USA. Our teams of faculties are from IT industry with having more than 10+ years of experience. Our training programs are designed by experienced professional who are altogether familiar with market needs.
Our training experts are industry professionals, working with leading MNCs. The strength of this team is its ability to adapt training to the particular requirements of the markets our clients serve and the specific needs of their professional. Many of our Trainees in the past got certified and landed excellent jobs on their way to careers.
Specialties:
Hands-on training
Real-time industry experts from MNCs
Resume Preparation by expert Professionals
Interview Preparation
Experts advice
Placement will be based on Performance
In this session, you will see a demo of Oracle Business Intelligence Visual Analyzer, taking a real-world business use case from end to end, to learn how straightforward it is to tell a compelling story with data and prototype with greater speed, while gaining insights into information with this new cutting-edge data visualization access.
This document provides an overview of Oracle BIEE (Business Intelligence Enterprise Edition) including its components, advantages, architecture, and features. It discusses Oracle BIEE Answers and interactive dashboards. Key components include Oracle BI Client, Presentation Services, Server, Repository, Scheduler, Answers, and Interactive Dashboards. Benefits include simplified report production, insights, and a single version of truth. The presentation concludes with information on iWare Logic's Oracle BIEE services.
This slideshow is for IT professionals, data analysts, managers, and anyone looking to drive more productivity from Excel. You will learn how you can effectively leverage the add-ins with your own data and analysis requirements.
One of the pillars of the SQL Server 2008 R2 release is Managed Self-Service BI.
Peter Myers of SolidQ will introduce:
* SQL Server PowerPivot for Excel
* SQL Server PowerPivot for SharePoint
The SQL Server PowerPivot for Excel add-in is a key offering in this pillar, and delivers an entirely new analytic experience to Excel 2010. This add-in allows analysts to load and prepare large volumes of data from various sources to create a multidimensional model. The model can be enriched with sophisticated calculations. Then the model can then be used as the source for PivotTable and PivotChart reports.
With the SQL Server PowerPivot for SharePoint add-in, the Excel workbooks that host the PowerPivot model can be cataloged in SharePoint and exposed as a data source for other Excel and Reporting Services reports. These SharePoint hosted models can then be managed by IT with scheduled data refreshes from the originating data stores.
The document discusses data warehousing and how it helps businesses make informed decisions by integrating data from various sources into a centralized repository. A data warehouse allows businesses to analyze historical data to understand trends, identify high/low performing customers, determine which products or promotions are most effective, and more. It provides a single, complete view of business data that users can easily access and understand to gain insights.
Obiee interview questions and answers faqmaheshboggula
The document provides answers to common interview questions about Oracle Business Intelligence Enterprise Edition (OBIEE), which was previously known as Siebel Analytics. It defines key terms like repository and metadata repository. It also describes the end-to-end lifecycle of a Siebel Analytics project and explains concepts like the three-layer architecture, connection pools, alias tables, and different ways to implement security and manage caching.
Informatica to ODI Migration – What, Why and How | Informatica to Oracle Dat...Jade Global
Learn about the First and Only Automated Solution for Informatica to Oracle Data Integrator (ODI) conversion
Do you want to know:
“What” is Informatica vs ODI?
“Why” do you need to move to ODI?
“How” is the migration from Informatica to ODI possible?
Learn how you can achieve up to 90% automated conversion, up to 90% reduced implementation time, up to 50% cost savings and up to 5X productivity gain.
Know more please visit: http://informaticatoodi.jadeglobal.com/
Implementation & Customization processes in BI Applications. BI Applications is built on an integrated IT infrastructure. As such it requires a combination of many skills to implement. Customization requires EBS techno-functional knowledge and skills. This is then incorporated in the ETL. Business acumen can help leverage the technology to the maximum.
This document summarizes a presentation on Oracle Data Integrator 11g given by Mark Rittman. It introduces ODI and its key features, components, and new capabilities in 11g such as the new Fusion IDE, J2EE deployment option, and integration with other Oracle technologies like WebLogic Server, Enterprise Manager, and OBIEE. The presentation also demonstrates typical development tasks in ODI like creating interfaces and packages.
Pentaho data integration 4.0 and my sqlAHMED ENNAJI
This document provides an overview of Pentaho Data Integration (PDI) version 4 and its support for MySQL. It begins with an introduction to Pentaho as an open source business intelligence suite. It then discusses the key components and features of PDI, including extraction, transformation, loading, and support for over 35 database types. New features in version 4 are highlighted, such as improved visualization, logging, and plugin architecture. The document concludes with a section focused on MySQL support in PDI, including JDBC/ODBC integration and bulk loading jobs.
The document provides an overview of the ETL tool Informatica. It discusses that ETL stands for Extraction, Transformation, and Loading and is the process of extracting data from sources, transforming it, and loading it into a data warehouse or other target. It describes the key components of Informatica including the repository, client, server, transformations like filters and aggregators, and how mappings are used to move data from sources to targets. Finally, it provides examples of how to create simple mappings in Informatica Designer.
Watch the companion webinar at:
Join John Sterrett, Senior Advisor at Linchpin People and Scott Walz, Director of Software Consultants, to learn how execution plans get invalidated and why data skew could be the root cause to seeing different execution plans for the same query. We will look at options for forcing a query to use a particular execution plan. Finally, you will learn how this complex problem can be identified and resolved simply using a new feature in SQL Server 2016 called Query Store.
Pentaho Data Integration (Kettle) is an open-source extract, transform, load (ETL) tool. It allows users to visually design data transformations and jobs to extract data from source systems, transform it, and load it into data warehouses. Kettle includes components like Spoon for designing transformations and jobs, Pan for executing transformations, and Carte for remote execution. It supports various databases and file formats through flexible components and transformations.
This document from Nitai Partners provides best practices and recommendations for optimizing Oracle Business Analytics performance. It discusses hardware, storage, deployment, ETL, and Informatica configuration considerations such as using Oracle RAC for high concurrency, separating ETL components, allocating sufficient temporary space, and tuning lookups, session parameters and connections to improve mapping performance for large data volumes.
This document summarizes the RapidApp methodology used by BizTech for Oracle implementations. The methodology includes 4 phases - Prepare, Configure, Test, and Deploy. Each phase has defined deliverables and objectives to prepare the project, configure the solution, test the system, and deploy the final product. The methodology provides a proven approach for successful Oracle project launches.
This document provides an overview of data warehousing and ETL concepts like OLTP vs OLAP, data warehouse architecture, and Informatica PowerCenter. It defines key terms, describes why organizations implement data warehouses to help with analytics and decision making, and outlines the typical layers of a data warehouse including the ETL process. The document also provides high-level information on Informatica PowerCenter's architecture and functionality for automating ETL jobs, and discusses some common errors and Unix commands for monitoring and managing Informatica services.
#dbhouseparty - Graph Technologies - More than just Social (Distancing) NetworksTammy Bednar
This document discusses graph technologies and Oracle's graph offerings. It begins with introductions of the presenters and an overview of the topics to be covered, including what graphs are, typical use cases, Oracle's graph technologies, and graph modeling. Examples of using graphs to analyze fraudulent money transfers and visualizing graphs are provided. The document also compares the PGQL graph query language to SQL and shows how to create and populate a property graph in Oracle. It outlines Oracle's graph features and provides helpful links for more information.
The document provides an overview of TUSC, an IT consulting company that was purchased by Rolta. It discusses TUSC's core service areas including Oracle applications and BI implementation. It also provides an overview of Piocon, an Oracle BI expert firm that was purchased by TUSC. The document then details several case studies of TUSC/Piocon's work with clients such as IPSCO, AM Castle, Chevron, and VCA Antech to implement Oracle BI solutions.
About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
The document discusses the architecture of Oracle Business Intelligence (OBIEE). It describes the key components including the BI Server, BI Scheduler, Repository, and data sources. It explains how queries from clients are processed, cached, and passed to underlying databases. It also covers security approaches like data level security and object level security. Repository (.rpd) files are described as containing all metadata and security rules to define OBIEE solutions. Approaches to OLAP like ROLAP, MOLAP, and hybrid OLAP are also summarized.
The document provides guidelines for installing OBIEE 12c including prerequisites, infrastructure setup, installing the BI platform, and configuring the RCU and BI application. It outlines 16 steps for setting up the required infrastructure by installing Fusion Middleware 12c, downloading and extracting the BI platform files, and running the configuration wizard. The document also includes 4 steps for configuring RCU and 11 steps for configuring the OBIEE application.
OBIEE Online Training Classes started by proven industry experts with an aim to present Quality Training. Providing Online IT Education and training.
Our team has a great exposure and experience in delivering the training programs for leading Corporate across USA. Our teams of faculties are from IT industry with having more than 10+ years of experience. Our training programs are designed by experienced professional who are altogether familiar with market needs.
Our training experts are industry professionals, working with leading MNCs. The strength of this team is its ability to adapt training to the particular requirements of the markets our clients serve and the specific needs of their professional. Many of our Trainees in the past got certified and landed excellent jobs on their way to careers.
Specialties:
Hands-on training
Real-time industry experts from MNCs
Resume Preparation by expert Professionals
Interview Preparation
Experts advice
Placement will be based on Performance
In this session, you will see a demo of Oracle Business Intelligence Visual Analyzer, taking a real-world business use case from end to end, to learn how straightforward it is to tell a compelling story with data and prototype with greater speed, while gaining insights into information with this new cutting-edge data visualization access.
This document provides an overview of Oracle BIEE (Business Intelligence Enterprise Edition) including its components, advantages, architecture, and features. It discusses Oracle BIEE Answers and interactive dashboards. Key components include Oracle BI Client, Presentation Services, Server, Repository, Scheduler, Answers, and Interactive Dashboards. Benefits include simplified report production, insights, and a single version of truth. The presentation concludes with information on iWare Logic's Oracle BIEE services.
This slideshow is for IT professionals, data analysts, managers, and anyone looking to drive more productivity from Excel. You will learn how you can effectively leverage the add-ins with your own data and analysis requirements.
One of the pillars of the SQL Server 2008 R2 release is Managed Self-Service BI.
Peter Myers of SolidQ will introduce:
* SQL Server PowerPivot for Excel
* SQL Server PowerPivot for SharePoint
The SQL Server PowerPivot for Excel add-in is a key offering in this pillar, and delivers an entirely new analytic experience to Excel 2010. This add-in allows analysts to load and prepare large volumes of data from various sources to create a multidimensional model. The model can be enriched with sophisticated calculations. Then the model can then be used as the source for PivotTable and PivotChart reports.
With the SQL Server PowerPivot for SharePoint add-in, the Excel workbooks that host the PowerPivot model can be cataloged in SharePoint and exposed as a data source for other Excel and Reporting Services reports. These SharePoint hosted models can then be managed by IT with scheduled data refreshes from the originating data stores.
The document discusses data warehousing and how it helps businesses make informed decisions by integrating data from various sources into a centralized repository. A data warehouse allows businesses to analyze historical data to understand trends, identify high/low performing customers, determine which products or promotions are most effective, and more. It provides a single, complete view of business data that users can easily access and understand to gain insights.
Obiee interview questions and answers faqmaheshboggula
The document provides answers to common interview questions about Oracle Business Intelligence Enterprise Edition (OBIEE), which was previously known as Siebel Analytics. It defines key terms like repository and metadata repository. It also describes the end-to-end lifecycle of a Siebel Analytics project and explains concepts like the three-layer architecture, connection pools, alias tables, and different ways to implement security and manage caching.
Informatica to ODI Migration – What, Why and How | Informatica to Oracle Dat...Jade Global
Learn about the First and Only Automated Solution for Informatica to Oracle Data Integrator (ODI) conversion
Do you want to know:
“What” is Informatica vs ODI?
“Why” do you need to move to ODI?
“How” is the migration from Informatica to ODI possible?
Learn how you can achieve up to 90% automated conversion, up to 90% reduced implementation time, up to 50% cost savings and up to 5X productivity gain.
Know more please visit: http://informaticatoodi.jadeglobal.com/
Implementation & Customization processes in BI Applications. BI Applications is built on an integrated IT infrastructure. As such it requires a combination of many skills to implement. Customization requires EBS techno-functional knowledge and skills. This is then incorporated in the ETL. Business acumen can help leverage the technology to the maximum.
This document summarizes a presentation on Oracle Data Integrator 11g given by Mark Rittman. It introduces ODI and its key features, components, and new capabilities in 11g such as the new Fusion IDE, J2EE deployment option, and integration with other Oracle technologies like WebLogic Server, Enterprise Manager, and OBIEE. The presentation also demonstrates typical development tasks in ODI like creating interfaces and packages.
Pentaho data integration 4.0 and my sqlAHMED ENNAJI
This document provides an overview of Pentaho Data Integration (PDI) version 4 and its support for MySQL. It begins with an introduction to Pentaho as an open source business intelligence suite. It then discusses the key components and features of PDI, including extraction, transformation, loading, and support for over 35 database types. New features in version 4 are highlighted, such as improved visualization, logging, and plugin architecture. The document concludes with a section focused on MySQL support in PDI, including JDBC/ODBC integration and bulk loading jobs.
The document provides an overview of the ETL tool Informatica. It discusses that ETL stands for Extraction, Transformation, and Loading and is the process of extracting data from sources, transforming it, and loading it into a data warehouse or other target. It describes the key components of Informatica including the repository, client, server, transformations like filters and aggregators, and how mappings are used to move data from sources to targets. Finally, it provides examples of how to create simple mappings in Informatica Designer.
Watch the companion webinar at:
Join John Sterrett, Senior Advisor at Linchpin People and Scott Walz, Director of Software Consultants, to learn how execution plans get invalidated and why data skew could be the root cause to seeing different execution plans for the same query. We will look at options for forcing a query to use a particular execution plan. Finally, you will learn how this complex problem can be identified and resolved simply using a new feature in SQL Server 2016 called Query Store.
Pentaho Data Integration (Kettle) is an open-source extract, transform, load (ETL) tool. It allows users to visually design data transformations and jobs to extract data from source systems, transform it, and load it into data warehouses. Kettle includes components like Spoon for designing transformations and jobs, Pan for executing transformations, and Carte for remote execution. It supports various databases and file formats through flexible components and transformations.
This document from Nitai Partners provides best practices and recommendations for optimizing Oracle Business Analytics performance. It discusses hardware, storage, deployment, ETL, and Informatica configuration considerations such as using Oracle RAC for high concurrency, separating ETL components, allocating sufficient temporary space, and tuning lookups, session parameters and connections to improve mapping performance for large data volumes.
This document summarizes the RapidApp methodology used by BizTech for Oracle implementations. The methodology includes 4 phases - Prepare, Configure, Test, and Deploy. Each phase has defined deliverables and objectives to prepare the project, configure the solution, test the system, and deploy the final product. The methodology provides a proven approach for successful Oracle project launches.
This document provides an overview of data warehousing and ETL concepts like OLTP vs OLAP, data warehouse architecture, and Informatica PowerCenter. It defines key terms, describes why organizations implement data warehouses to help with analytics and decision making, and outlines the typical layers of a data warehouse including the ETL process. The document also provides high-level information on Informatica PowerCenter's architecture and functionality for automating ETL jobs, and discusses some common errors and Unix commands for monitoring and managing Informatica services.
#dbhouseparty - Graph Technologies - More than just Social (Distancing) NetworksTammy Bednar
This document discusses graph technologies and Oracle's graph offerings. It begins with introductions of the presenters and an overview of the topics to be covered, including what graphs are, typical use cases, Oracle's graph technologies, and graph modeling. Examples of using graphs to analyze fraudulent money transfers and visualizing graphs are provided. The document also compares the PGQL graph query language to SQL and shows how to create and populate a property graph in Oracle. It outlines Oracle's graph features and provides helpful links for more information.
The document provides an overview of TUSC, an IT consulting company that was purchased by Rolta. It discusses TUSC's core service areas including Oracle applications and BI implementation. It also provides an overview of Piocon, an Oracle BI expert firm that was purchased by TUSC. The document then details several case studies of TUSC/Piocon's work with clients such as IPSCO, AM Castle, Chevron, and VCA Antech to implement Oracle BI solutions.
The document provides instructions for installing OBIEE 11g, including prerequisites like having Oracle 11g already installed, running the Repository Creation Utility to set up schemas, and configuring the weblogic domain. It also describes loading a sample SalesApp repository and verifying the change in the NQSConfig.ini file. The document concludes by providing contact details for the company iWare Logic that specializes in Oracle applications and technologies.
Oracle Business Intelligence 11g - Why Upgrade? Top Benefits for ITKPI Partners
This document outlines the top benefits of upgrading to Oracle Business Intelligence 11g for IT teams. Key benefits include simplified administration and lower total cost of ownership through features like unified systems management, automated operational tasks, and improved performance monitoring. It also provides improved security, expanded platform support, and optimized performance, scalability and availability. Map views now allow embedding of Google Maps for additional geographic and spatial analysis capabilities.
Oracle Weblogic for EBS and obiee (R12.2)Berry Clemens
The document provides an overview of Oracle WebLogic Server and its role in supporting major Oracle applications like Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle E-Business Suite (EBS). It discusses what WebLogic is, its history and features, how it fits into the Oracle technology stack, how to install and configure it, and how WebLogic is used to host and manage OBIEE and EBS instances. Specific topics covered include WebLogic architecture, security configuration, integration with Oracle Identity Management, and migrating security provisioning between environments.
Morgan Sindall Group implemented IBM Cognos Financial Statement Reporting (FSR) to automate and streamline their financial reporting process. FSR links their financial data in IBM Cognos Controller to Microsoft Word and Excel reports. This eliminated manual data entry errors and allowed multiple people to work collaboratively. It also saved time by reducing late changes and provided better version control than their previous gatekeeper process. Morgan Sindall expects ongoing benefits from reusing tagged variables and anticipates cost savings from reduced audit costs and not needing a dedicated gatekeeper.
The document provides an overview of implementing Oracle Business Intelligence Enterprise Edition (OBIEE) using an Oracle E-Business data source. It outlines the objectives to introduce OBIEE, demonstrate installation basics, repository creation, and sample reports. It describes OBIEE architecture with clients, presentation services, server, and data sources. It also covers installation options, the report development process, creating simple and star schema reports, and next steps.
Case Study: BI Dashboards Presentation by President of Aero PrecisionSenturus
The document summarizes a case study presentation about how the company Aero Precision leveraged business intelligence (BI) dashboards from Senturus to gain insights, double sales, and gain a competitive edge. Specifically, it discusses how Aero Precision's previous Excel-based reporting tools were limited, while the Senturus solution provided automated data extraction and delivery, self-service analytics, and key performance tracking to help align with Aero Precision's growth strategy. Examples of useful BI dashboards developed by Senturus are shown, demonstrating benefits like reduced report generation time.
This document provides steps for installing OBIEE 10.1.3.4 server on Windows, including downloading required software, running the executable file, selecting a basic or advanced installation mode, specifying JDK and database locations, verifying installed components, and default usernames and passwords.
JSBI Presentation Big Data Hyperion OBIEE Integration16 2Jeff Shauer
The document discusses integrating Big Data, Oracle Hyperion, and Oracle Business Intelligence Enterprise Edition (OBIEE). It provides an overview of the value of integrating these systems, including combining structured and unstructured data for advanced analytics and reporting. The document outlines various approaches to integrating Hyperion and relational data sources into OBIEE and considerations for each method. It also provides tips for integrating Big Data sources into OBIEE and putting all data sources together into a single reporting system. The key takeaways are understanding the business value and capabilities for integrating these systems.
Real-Time Data Warehousing using Oracle Database and OBIEE - Collaborate'11Mark Rittman
Presentation by Stewart Bryson, Rittman Mead, on real-time data warehousing techniques using the Oracle Database and Oracle Business Intelligence Enterprise Edition. As delivered at Collaborate'11, Orlando, April 2011.
This document provides a three-part summary of building financial reports and dashboards using Oracle Business Intelligence Enterprise Edition (OBIEE) with Essbase as the data source:
1. It outlines the steps to prepare the repository planning document (RPD) by importing the Essbase cube and associated dimensions, hierarchies, and measures into the physical layer of the RPD.
2. It describes how to build the business model and mapping layer by dragging the physical cube into these layers to automatically generate the associated dimensions and relationships.
3. It discusses setting up the presentation layer by dragging objects from the business model layer into catalogs for ad-hoc analysis and testing.
The document discusses Oracle Business Intelligence on cloud computing. It begins with an agenda that covers an introduction to cloud computing, why BI on cloud, options for implementing OBIEE on cloud, challenges and tradeoffs, and demonstrations. It then discusses what cloud computing is and why BI is attractive for cloud. Several options for implementing OBIEE on cloud are presented, along with key challenges. Creative approaches to addressing challenges are explored through mind mapping. The options and tradeoffs involved in balancing priorities and challenges are examined. The presentation concludes with an overview of the company's cloud computing offerings and a demonstration.
The Nielsen Company BI COE: A Case StudyJohn Boyer
Presented at IBM Cognos Forum 2009. a) This case study describes the challenges in designing and implementing a BI COE. You will learn how The Nielsen Company leverages internal staff in the BI COE to support a total of 30,000 employees and a distributed global Cognos development environment.
Redesigning Hyperion Planning - Is going from Block Storage (BSO) to Aggregat...finitsolutions
Oracle's Hyperion Planning is used by thousands of companies around the world for a wide variety of uses - from simple Budget / Plan and Forecast collection to deep predictive analytics. Business requirements commonly change over time which can necessitate a "redesign" of the Planning process and application. Oracle Hyperion Planning has also evolved over the years and opportunities have greatly expanded in terms of data storage, calculation engine, performance, and analytics. Join our webinar to find out how you can leverage these opportunities - whether it be part of a redesign of your existing Planning / Essbase Application or as part of a brand new roll-out.
In this webinar we will walk you through a real life case study of a Hyperion Planning application redesign. Our focus will include:
The challenges of a redesign
Metadata constraints
Performance issues
User experience
Administration
Design options explored
Aggregate Storage Option (ASO) vs Block Storage Option (BSO)
Map to Reporting and Smart Push
Essbase Hybrid
We will explore pros and cons of multiple design options for this application including:
Future Maintenance
Future Metadata updates
Interfaces with:
FDM
HFM
Finally, discover which design won out and why.
Presenter: Cindy Eichner
Obiee and Essbase Integration | MindStream Analysismindstremanalysis
MindStream Analytics can help you learn more about Essbase and its full analytic capabilities. MindStream’s experienced staff includes former Hyperion Essbase developers and certified Hyperion Essbase consultants. We hold various positions throughout the Essbase community including the Oracle Application User Group’s (OAUG) Hyperion Special Interest Group Domain Lead for Essbase. MindStream has the expertise to make your next Essbase implementation a success.
El documento habla sobre informática. Explica que la informática estudia métodos para almacenar, procesar y transmitir datos digitales. También describe el origen de la informática y cómo se ha aplicado a diversas áreas como la gestión empresarial, medicina, ingeniería y más. Luego define la computadora, sus partes como la unidad central de procesamiento, monitor, teclado, ratón, y sus funciones de recibir datos, procesarlos y enviar la información resultante.
With the launch of OBIEE 11g we can look at some of the key new features in this release. The most obvious changes in OBIEE 11g is around the visual look and feel of the web-based components. Few of the features that we will go through are KPIs and scorecards that are newly introduced and widely used in Oracle BI and KPIs can be manifested as a stand-alone metric or part of a watchlist on a dashboard; and selections that limit the members for a column after aggregation, affecting the display of data in your analysis.
OBIEE11g Seminar by Mark Rittman for OU Expert Summit, Dubai 2015Mark Rittman
Slides from a two-day OBIEE11g seminar in Dubai, February 2015, at the Oracle University Expert Summit. Covers the following topics:
1. OBIEE 11g Overview & New Features
2. Adding Exalytics and In-Memory Analytics to OBIEE 11g
3. Source Control and Concurrent Development for OBIEE
4. No Silver Bullets - OBIEE 11g Performance in the Real World
5. Oracle BI Cloud Service Overview, Tips and Techniques
6. Moving to Oracle BI Applications 11g + ODI
7. Oracle Essbase and Oracle BI EE 11g Integration Tips and Techniques
8. OBIEE 11g and Predictive Analytics, Hadoop & Big Data
The document discusses creating hybrid OLAP/relational models in Oracle Business Intelligence Enterprise Edition (OBIEE) by combining Essbase and relational data sources. It describes steps for importing an Essbase cube into OBIEE's semantic model layer and then creating federated models that allow drilling from aggregated Essbase data down to more detailed relational data. Special considerations are discussed for dimensions like time that require transformations when joining Essbase and relational sources.
OBIEE & Essbase Integration with Oracle BI Foundation 11.1.1.7 (ODTUG 2013)Mark Rittman
A presentation on the architectural and installation changes for Essbase with the new 11.1.1.7 release of Oracle BI Foundation, including integrated security, the role Essbase plays in this new architecture, Essbase cube spin-off, and Smartview.
Ougn2013 high speed, in-memory big data analysis with oracle exalyticsMark Rittman
The document discusses Oracle Exalytics, a platform for high speed, big data analysis. Exalytics combines Oracle Business Intelligence software with specialized hardware to enable high-density visualization of large datasets and support of many concurrent users. It also integrates Oracle Essbase, Endeca, and Hadoop to provide additional analytic capabilities for both structured and unstructured data.
Deploying OBIEE in the Cloud - Oracle Openworld 2014Mark Rittman
Introduction to Oracle BI Cloud Service (BICS) including administration, data upload, creating the repository and creating dashboards and reports. Also includes a short case-study around Salesforce.com reporting created for the BICS beta program.
Mark Rittman is an Oracle ACE Director and co-founder of Rittman Mead, a specialist Oracle BI consulting firm. He has over 15 years of experience with Oracle technologies including BI, OLAP, and the Oracle database. He is a regular speaker at Oracle OpenWorld and columnist for Oracle Magazine. He has authored two books on Oracle BI through Oracle Press. This document provides an introduction and overview of Oracle Business Intelligence including its semantic business model, interactive dashboards, and integration capabilities. Demonstrations are shown of the semantic model, dashboard creation, and integration with Oracle Fusion Middleware.
The candidate has over 4 years of experience as a SAP HANA/BW consultant and 1.6 years of experience as a SAP Basis consultant. They have extensive experience with SAP HANA modeling, including creating attribute, analytical, and calculation views as well as procedures. They also have strong experience with SAP BI/BW, including data modeling, extraction, loading, and reporting. They have worked on several projects for clients such as Telefonica-O2 and DANA HOLDING CORPORATION.
The document provides an agenda for a 3-day training on data warehousing and business intelligence using Microsoft SQL Server 2005. Day 3 focuses on SQL Server Integration Services (SSIS), including an introduction to SSIS, workshops and exercises on SSIS and SQL Server Analysis Services (SSAS). It also discusses how to create SSIS packages to extract, transform and load data.
Power BI is a self-service business intelligence tool that allows users to analyze data and create reports and visualizations. It includes components for data discovery, analysis, and visualization both on-premises using Excel and in the cloud using the Power BI service. The tool integrates with Office 365 and allows users to discover, visualize, and share insights from data.
This document discusses scaling R to enterprise data using Oracle's Big Data Analytics solutions. It describes Oracle R Enterprise for performing advanced analytics on large datasets within the database using R. It also describes the Oracle R Connector for Hadoop for accessing and manipulating data stored in Hadoop from R. The document provides examples of loading, preparing, analyzing and modeling data on both relational and HDFS data using Oracle R. It highlights the performance advantages of in-database analytics and discusses deploying R models and scripts to production.
Using obi apps to consolidate data for taleo, salesforce and net suite apps_pptShiv Bharti
This document summarizes a presentation about consolidating data from various applications, including on-premise and cloud applications, using Oracle Business Intelligence tools. It discusses using Oracle BI Applications and Oracle BI Cloud Analytics platforms to consolidate data from sources like Oracle ERP, other non-Oracle applications, and cloud applications. It provides examples of using staging tables and a common data model to analyze data across different functional areas and applications. The presentation covers best practices for data integration, architecture considerations, and using pre-built analytics content to speed up deployment.
This document discusses connecting Oracle Analytics Cloud (OAC) Essbase data to Microsoft Power BI. It provides an overview of Power BI and OAC, describes various methods for connecting the two including using a REST API and exporting data to Excel or CSV files, and demonstrates some visualization capabilities in Power BI including trends over time. Key lessons learned are that data can be accessed across tools through various connections, analytics concepts are often similar between tools, and while partnerships exist between Microsoft and Oracle, integration between specific products like Power BI and OAC is still limited.
Abhishek Ray has over 9 years of experience in data warehousing and ETL. He has expertise in designing and developing data warehouses, data modeling, ETL processes, and reporting solutions. Some of his skills include Oracle PL/SQL, Unix, Java, C, Oracle databases, ODI, and OFSAAI. He has worked on banking data warehouse projects for clients like Mizuho Bank and NAB. Currently he is working as a principal consultant on a Basel III CRD IV development project for Mizuho Bank.
Michael Liang Resume_Irvine_CA_ShortVersionMICHAEL LIANG
This document provides a resume for Michael Liang. It outlines his contact information, technical skills including programming languages and software, education from Baruch College, and professional experience including roles at Wells Fargo and A.I.G. developing databases, reports, data analysis tools, and migrating systems using technologies such as SQL Server, SSIS, SSAS, SSRS, and C#.
Business intelligence like never before....
Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.
This document is a resume for Muhammad Ahmad, a Senior Oracle ERP Developer with over 10 years of experience working with Oracle E-Business Suite. He has extensive technical skills with Oracle forms, reports, and database management as well as functional experience in modules like financials, supply chain, and HR. Currently working as a Senior Oracle ERP Developer for Al-Wazzan Holding Group in Kuwait, his responsibilities include leading the technical side of Oracle EBS, customizing reports and forms, and supporting the finance department.
This document is a resume for Muhammad Ahmad, a Senior Oracle ERP Developer with over 10 years of experience working with Oracle E-Business Suite. He has extensive technical skills with Oracle forms, reports, and database management as well as functional experience in modules like financials, supply chain, and HR. Currently working as a Senior Oracle ERP Developer for Al-Wazzan Holding Group in Kuwait, his responsibilities include leading the technical side of Oracle EBS, customizing reports and forms, and supporting the finance department.
This resume summarizes Shobha Rani Mukala's experience as a SAP BW/HANA consultant with over 3.7 years of experience. She has extensive knowledge of SAP HANA administration, data modeling, reporting, and data provisioning. She also has experience implementing SAP BW, creating data models, handling data extraction and loads, and developing reports with Business Explorer. Her experience includes multiple projects involving SAP BW and HANA implementations, data modeling, ETL, reporting, and support.
Balwant Singh is a senior package solution consultant with over 5 years of experience in ETL, data warehousing, and reporting solutions using technologies such as ODI 11g, OBIEE 11g, and Oracle databases. He has extensive experience designing and implementing data integration projects for customers in various industries. Currently, he works for IBM India on an MSI project involving OBIEE, ODI, and BI applications.
The Future of Analytics, Data Integration and BI on Big Data PlatformsMark Rittman
The document discusses the future of analytics, data integration, and business intelligence (BI) on big data platforms like Hadoop. It covers how BI has evolved from old-school data warehousing to enterprise BI tools to utilizing big data platforms. New technologies like Impala, Kudu, and dataflow pipelines have made Hadoop fast and suitable for analytics. Machine learning can be used for automatic schema discovery. Emerging open-source BI tools and platforms, along with notebooks, bring new approaches to BI. Hadoop has become the default platform and future for analytics.
Using Oracle Big Data Discovey as a Data Scientist's ToolkitMark Rittman
As delivered at Trivadis Tech Event 2016 - how Big Data Discovery along with Python and pySpark was used to build predictive analytics models against wearables and smart home data
SQL-on-Hadoop for Analytics + BI: What Are My Options, What's the Future?Mark Rittman
There are many options for providing SQL access over data in a Hadoop cluster, including proprietary vendor products along with open-source technologies such as Apache Hive, Cloudera Impala and Apache Drill; customers are using those to provide reporting over their Hadoop and relational data platforms, and looking to add capabilities such as calculation engines, data integration and federation along with in-memory caching to create complete analytic platforms. In this session we’ll look at the options that are available, compare database vendor solutions with their open-source alternative, and see how emerging vendors are going beyond simple SQL-on-Hadoop products to offer complete “data fabric” solutions that bring together old-world and new-world technologies and allow seamless offloading of archive data and compute work to lower-cost Hadoop platforms.
Social Network Analysis using Oracle Big Data Spatial & Graph (incl. why I di...Mark Rittman
The document discusses using Hadoop and NoSQL technologies like Apache HBase to perform social network analysis on Twitter data related to a company's website and blog. It describes ingesting tweet and website log data into Hadoop HDFS and processing it with tools like Hive. Graph algorithms from Oracle Big Data Spatial & Graph were then used on the property graph stored in HBase to identify influential Twitter users and communities. This approach provided real-time insights at scale compared to using a traditional relational database.
Using Oracle Big Data SQL 3.0 to add Hadoop & NoSQL to your Oracle Data Wareh...Mark Rittman
As presented at OGh SQL Celebration Day in June 2016, NL. Covers new features in Big Data SQL including storage indexes, storage handlers and ability to install + license on commodity hardware
IlOUG Tech Days 2016 - Big Data for Oracle Developers - Towards Spark, Real-T...Mark Rittman
Mark Rittman, CTO of Rittman Mead, gave a keynote presentation on big data for Oracle developers and DBAs with a focus on Apache Spark, real-time analytics, and predictive analytics. He discussed how Hadoop can provide flexible, cheap storage for logs, feeds, and social data. He also explained several Hadoop processing frameworks like Apache Spark, Apache Tez, Cloudera Impala, and Apache Drill that provide faster alternatives to traditional MapReduce processing.
IlOUG Tech Days 2016 - Unlock the Value in your Data Reservoir using Oracle B...Mark Rittman
Mark Rittman from Rittman Mead presented on Oracle Big Data Discovery. He discussed how many organizations are running big data initiatives involving loading large amounts of raw data into data lakes for analysis. Oracle Big Data Discovery provides a visual interface for exploring, analyzing, and transforming this raw data. It allows users to understand relationships in the data, perform enrichments, and prepare the data for use in tools like Oracle Business Intelligence.
Enkitec E4 Barcelona : SQL and Data Integration Futures on Hadoop : Mark Rittman
Mark Rittman gave a presentation on the future of analytics on Oracle Big Data Appliance. He discussed how Hadoop has enabled highly scalable and affordable cluster computing using technologies like MapReduce, Hive, Impala, and Parquet. Rittman also talked about how these technologies have improved query performance and made Hadoop suitable for both batch and interactive/ad-hoc querying of large datasets.
Gluent New World #02 - SQL-on-Hadoop : A bit of History, Current State-of-the...Mark Rittman
Hadoop and NoSQL platforms initially focused on Java developers and slow but massively-scalable MapReduce jobs as an alternative to high-end but limited-scale analytics RDBMS engines. Apache Hive opened-up Hadoop to non-programmers by adding a SQL query engine and relational-style metadata layered over raw HDFS storage, and since then open-source initiatives such as Hive Stinger, Cloudera Impala and Apache Drill along with proprietary solutions from closed-source vendors have extended SQL-on-Hadoop’s capabilities into areas such as low-latency ad-hoc queries, ACID-compliant transactions and schema-less data discovery – at massive scale and with compelling economics.
In this session we’ll focus on technical foundations around SQL-on-Hadoop, first reviewing the basic platform Apache Hive provides and then looking in more detail at how ad-hoc querying, ACID-compliant transactions and data discovery engines work along with more specialised underlying storage that each now work best with – and we’ll take a look to the future to see how SQL querying, data integration and analytics are likely to come together in the next five years to make Hadoop the default platform running mixed old-world/new-world analytics workloads.
Oracle BI Hybrid BI : Mode 1 + Mode 2, Cloud + On-Premise Business AnalyticsMark Rittman
Mark Rittman, founder of Rittman Mead, discusses Oracle's approach to hybrid BI deployments and how it aligns with Gartner's vision of a modern BI platform. He explains how Oracle BI 12c supports both traditional top-down modeling and bottom-up data discovery. It also enables deploying components on-premises or in the cloud for flexibility. Rittman believes the future is bi-modal, with IT enabling self-service analytics alongside centralized governance.
Unlock the value in your big data reservoir using oracle big data discovery a...Mark Rittman
The document discusses Oracle Big Data Discovery and how it can be used to analyze and gain insights from data stored in a Hadoop data reservoir. It provides an example scenario where Big Data Discovery is used to analyze website logs, tweets, and website posts and comments to understand popular content and influencers for a company. The data is ingested into the Big Data Discovery tool, which automatically enriches the data. Users can then explore the data, apply additional transformations, and visualize relationships to gain insights.
Riga dev day 2016 adding a data reservoir and oracle bdd to extend your ora...Mark Rittman
This talk focus is on what a data reservoir is, how it related to the RDBMS DW, and how Big Data Discovery provides access to it to business and BI users
Big Data for Oracle Devs - Towards Spark, Real-Time and Predictive AnalyticsMark Rittman
This is a session for Oracle DBAs and devs that looks at the cutting edge big data techs like Spark, Kafka etc, and through demos shows how Hadoop is now a a real-time platform for fast analytics, data integration and predictive modeling
OBIEE12c and Embedded Essbase 12c - An Initial Look at Query Acceleration Use...Mark Rittman
OBIEE12c comes with an updated version of Essbase that focuses entirely in this release on the query acceleration use-case. This presentation looks at this new release and explains how the new BI Accelerator Wizard manages the creation of Essbase cubes to accelerate OBIEE query performance
Adding a Data Reservoir to your Oracle Data Warehouse for Customer 360-Degree...Mark Rittman
This document summarizes a presentation about adding a Hadoop-based data reservoir to an Oracle data warehouse. The presentation discusses using a data reservoir to store large amounts of raw customer data from various sources to enable 360-degree customer analysis. It describes loading and integrating the data reservoir with the data warehouse using Oracle tools and how organizations can use it for more personalized customer marketing through advanced analytics and machine learning.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
"Rebranding for Growth", Anna VelykoivanenkoFwdays
Since there is no single formula for rebranding, this presentation will explore best practices for aligning business strategy and communication to achieve business goals.
Automation Hour 1/28/2022: Capture User Feedback from AnywhereLynda Kane
Slide Deck from Automation Hour 1/28/2022 presentation Capture User Feedback from Anywhere presenting setting up a Custom Object and Flow to collection User Feedback in Dynamic Pages and schedule a report to act on that feedback regularly.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Learn the Basics of Agile Development: Your Step-by-Step GuideMarcel David
New to Agile? This step-by-step guide is your perfect starting point. "Learn the Basics of Agile Development" simplifies complex concepts, providing you with a clear understanding of how Agile can improve software development and project management. Discover the benefits of iterative work, team collaboration, and flexible planning.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Rock, Paper, Scissors: An Apex Map Learning JourneyLynda Kane
Slide Deck from Presentations to WITDevs (April 2021) and Cleveland Developer Group (6/28/2023) on using Rock, Paper, Scissors to learn the Map construct in Salesforce Apex development.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
"Client Partnership — the Path to Exponential Growth for Companies Sized 50-5...Fwdays
Why the "more leads, more sales" approach is not a silver bullet for a company.
Common symptoms of an ineffective Client Partnership (CP).
Key reasons why CP fails.
Step-by-step roadmap for building this function (processes, roles, metrics).
Business outcomes of CP implementation based on examples of companies sized 50-500.
Leading AI Innovation As A Product Manager - Michael JidaelMichael Jidael
Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development.
In this deck, you'll discover:
- What AI leadership means for product managers
- The fundamental paradigm shift required for AI product development.
- A framework for identifying high-value AI opportunities for your products.
- How to transition from user stories to AI learning loops and hypothesis-driven development.
- The essential AI product management framework for defining, developing, and deploying intelligence.
- Technical and business metrics that matter in AI product development.
- Strategies for effective collaboration with data science and engineering teams.
- Framework for handling AI's probabilistic nature and setting stakeholder expectations.
- A real-world case study demonstrating these principles in action.
- Practical next steps to begin your AI product leadership journey.
This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Datastucture-Unit 4-Linked List Presentation.pptxkaleeswaric3
OBIEE 11g for Hyperion Users - Are We There Yet?
1. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Mark Rittman, Director, Rittman Mead OUG Hyperion Conference, June 2011 OBIEE 11g for Hyperion Users - Are We There Yet?
2. Agenda OBIEE 11g Overview OBIEE 11g Features for Hyperion Users Import Essbase Data into OBIEE Repository for Reporting Analyze Essbase + HFM Data in Answers Mapping Integration Extend and Integrate using Action Framework Strategic Analysis using Oracle Scorecard & Strategy Management So Can OBIEE 11g Replace Web Analysis, Planning, HFM, Excel Add-in? Current Limitations and Issues MDX Generation Repository Federation (Drill-through) Limitations Security & Deployment Future Developments Conclusions T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
3. Mark Rittman Mark Rittman, Co-Founder of Rittman Mead Oracle ACE Director, specialising in Oracle BI&DW 14 Years Experience with Oracle Technology Regular columnist for Oracle Magazine Author of forthcoming Oracle Press book on OBIEE 11g Writer for Rittman Mead Blog : http://www.rittmanmead.com/blog Email : [email_address] Twitter : @markrittman T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
4. About Rittman Mead Oracle BI and DW gold partner World leading specialist partner for technical excellence, solutions delivery and innovation in Oracle BI Approximately 30 consultants worldwide All expert in Oracle BI and DW UK based Offices in US, Europe (Belgium) and India Skills in broad range of supporting Oracle tools: OBIEE OBIA ODIEE Essbase, Oracle OLAP GoldenGate Exadata T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
5. Oracle Business Intelligence 11gR1 The latest release of Oracle’s business intelligence platform Replacement for Discoverer; full platform for analytics and dashboards Now at version 11.1.1.5; originally derived from Siebel Analytics 11gR1 new features focused on OLAP analysis, visualizations, manageability T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
6. Web-Based Delivery of Analytics and Analysis Users access information and analytics through role-based dashboards Can also publish reports to PDF, distribute, or access through MS Office T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
7. Web-Based Authoring Tools for “Power Users” Reports and analyses are created using web-based tools Point-and-click creation of tables, pivot-tables, charts, maps, gauges T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
8. Integration with E-Business Suite and Other Applications OBIEE 11.1.1.5 is the platform for Oracle Business Intelligence applications Pre-built reports, dashboards and analytics for EBS and other applications Pre-built dimensional data warehouse and ETL routines Extensible and open design T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
9. Mobile and Other Advanced Visualizations Mobile client for Apple iPad and iPhone Delivery of reports and alerts via email, cell, pager etc High-density visualizations via a thin-client web dashboard Integration with MS Office and Open Office through SmartView T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
10. All Built Using Shared “Common Enterprise Information Model” All reporting tools can take their data from a shared metadata layer Defined as dimensional model, embeds common calculations and drill paths Subject-area and row-level security Three-layer design to provide abstraction from underlying complicated source systems T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Simplification of the Data Model Integration of Disparate DataSources Addition of Business Logic and Calculations
11. New in the 11g Release of Oracle Business Intelligence Scorecards and Key Performance Indicators The “Action Framework”, for integration with workflows, E-Business Suite forms etc Improve analysis capabilities Improved manageability through Enterprise Manager Scorecards, Mapping, new OLAP features T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
12. OBIEE 11g Features for Hyperion Users Essbase as a data source for Oracle BI Repository Oracle Answers as a front-end for Essbase, HFM Integration of Essbase and relational data into drill-through models Oracle BI Repository as a data source for Essbase Studio Plus access to OBIEE dashboards & reporting Wide range of graphs and other visualizations Mapping and spatial integration Scorecards and KPIs Web Service and Application Integration Access to EBS, PSFT, Siebel and SAP data through Oracle BI Applications T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
13. Supported Essbase/Hyperion Releases Oracle Essbase 9.3.3+, 11.1.1.3.500, 11.1.2+ HFM 9.3.3, 11.1.1.3, 11.1.2.x Planning - tbc See Oracle Fusion Middleware Supported System Configurations doc on OTN http://www.oracle.com/technetwork/middleware/ias/downloads/fusion-certification-100350.html T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
14. Essbase Integration with OBIEE OBIEE can connect to multidimensional as well as relational sources Microsoft Analysis Services, SAP B/W, Essbase Import process converts the multidimensional view into a relational view Essbase cubes, dimensions, hierarchies converted to a logical relational star schema Essbase data can then be combined with data from sources OBIEE 11g introduces new OLAP query capabilities making Answers a first-class ad-hoc query tool for Essbase cubes Other use case is to bring in budget, forecast data etc from Essbase and use to enhance relational data T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
15. New Essbase Cube and Metadata Features in OBIEE 11gR1 Essbase outlines are still imported in and converted to relational stars However outlines are now handled better Accounts dimensions keep their hierarchy Parent-child (value-based) hierarchies are supported Alias tables supported UDAs supported No longer any need to recreate as outline evolves (additional generations, members) Makes OBIEE a more practical reporting environment for financial-style Essbase cubes T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
16. Importing an Essbase Cube Step 1 : Review Essbase Outline Review the Essbase outline using Essbase Administration Services Be aware of the number and type of dimensions Check usage of alias tables, UDAs etc Be sure to use correct Essbase versions Other releases will partially work, but drilling etc may not work T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
17. Importing an Essbase Cube Step 2 : Select Metadata Import Using BI Administration tool, select File > Import Metadata Enter connection details for Essbase Server (requires Essbase Client to be installed on server and desktop) Select cube for import, check Import UDAs if UDAs are present in cube T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
18. Importing an Essbase Cube Step 3 : Review Import Review imported cube metadata Accounts dimension is now a hierarchy Single measure dimensioned by all dimensions Columns still based on outline dimension generations T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
19. Importing an Essbase Cube Step 4 : Convert To Parent-Child Imported level-based hierarchies can be convered to value-based Protects against outline evolution, new levels (generations) being added Right-click on dimension, select Properties > Levels , then change Hierarchy Type to Value T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
20. Importing an Essbase Cube Step 5 : Add Alias Columns Where aliases are present in the outline, these can be brought through to OBIEE Right-click on dimension, select Create Columns for Alias Table Select alias to create column for; alias then appears in physical database T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
21. Importing an Essbase Cube Step 6 : Create Remainder of Model Once physical model is created, drag and drop over to business model and mapping layer, and then presentation layer Essbase data is then ready for reporting on using Answers T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
22. New Essbase Reporting Features in OBIEE 11g OBIEE 11g comes with a number of improvements for reporting against Essbase Hierarchical column provide OLAP-style drilling against Essbase cubes Selection steps and hierarchical prompts provided member-based selections UDAs can be used in filters Value-based hierarchies remove need to query specific levels to select members for analysis T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
23. Essbase and Hierarchical Columns Essbase cubes now use Hierarchical Columns by default Full drill into detail (symmetric / asymmetric drilling) Combine with regular attribute columns Works across both relational and OLAP sources MOLAP and ROLAP analysis combined T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
24. P&L-Style Reports Though Financial Reporting is the most suitable tool for P&L-style reports, Answers using hierarchical columns can reproduce a lot of their functionality T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
25. Access to OBIEE Graphing, Visualisations Full access to all OBIEE visuals, maps, graphs, dashboard objects, scorecards etc T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
26. Selection Steps and Essbase The OBIEE 11g Selection Steps feature can be used to select members based on a hierarchy Select individual members, drill into hierarchy Select members based on position in a hierarchy Select Children Of Select Ancestors of Keep/Remove members T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
27. Conditional Selection Steps Selection steps can be added conditionally Select condition type, action, measure, operator and value Allows you to add/remove/keep members based on measure values T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
28. Review Selection Steps Selection Steps can be reviewed using the Results tab > Selection Steps Shows steps applied sequentially to the dataset Can be used in conjunction with regular criteria column filters T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
29. Filtering against UDAs User-Defined Attributes can be accessed via filters UDAs are not displayable like columns, they instead act as filters Add filter based on UDA = 1 (true) or false (0) T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
30. Displaying Aliases Aliases appear in the subject area just like other columns Have to be imported into the RPD, see previous steps Can be used just as any other column T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
31. Handling Essbase Alternate Hierarchies Alternate hierarchies can be imported from Essbase ASO cubes (not BSO) Dimension must be multiple hierarchy enabled in the outline Multiple hierarchies are then imported into the RPD and created separately, based off of the same logical dimension table T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com 1 2 3
32. Handling Attribute Dimensions Attribute dimensions are imported into the RPD just like regular Essbase dimensions Can be queried in analyses alongside regular dimension members/logical columns Typically attribute dimensions are nested within the “parent” dimension within the presentation layer of the RPD Can be queried separate from the “parent” dimension, or alongside it T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com 1 2 3
33. Essbase Security and Filters Data filters and Meta Filters are respected by OBIEE SSO integration between Workspace and OBIEE Presentation Server removed in 11g SSO still possible but requires external solution (until 11.1.1.6+?) Shared Services and OBIEE both connecting to same external LDAP server External SSO over both OBIEE and EPM products T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
34. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Importing and Analyzing Essbase Data using OBIEE 11.1.1.5 Demonstration
35. New Capabilities Provided by OBIEE 11g Horizontal (Drill-Across) and Vertical (Drill-down) Integration with Relational Data MapViewer Integration Scorecards and KPIs BI Publisher Action Framework Integration with EBS and other application data T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
36. Drill-Across and Drill-Through To Relational Data One of the most powerful features in the OBIEE it is ability to combine data sources Multiple data sources presented as a single logical dimensional model In terms of Essbase and HFM integration there are three main use-cases: Providing drill-down from an Essbase-based model to detail-level relational data Displaying relational attributes and descriptive data alongside Essbase measures Combining Essbase and relational measures into a single business model T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
37. Setting up Vertical Federation (Drill-to-Relational Detail) Initially map in Essbase source (using wizard), then introduce relational data into model Be aware of Essbase unique naming requirements (may need to prefix relational name) Create level-based logical dimension to indicate hierarchy levels Set content (hierarchy) level for Essbase and Relational sources to indicate granularity (how detailed they are) BI Server will then automatically switch between Essbase and Relational sources, depending on how detailed the report gets T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
38. Reporting at Aggregated (Essbase) Level Reports that then run at the aggregated level will automatically use Essbase This is because it is mapped in to the Customer dimension at a higher (non-leaf) level T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com With set [Channel3] as '[Channel].Generations(3).members' set [Customers5] as '[Customers].Generations(5).members' select { [Measures].[Amount] } on columns, NON EMPTY {crossjoin ({[Channel3]},{[Customers5]})} properties ANCESTOR_NAMES, GEN_NUMBER on rows from [SH.SH]
39. Reporting at Detailed (Relational) Level Reports where the user drills to transaction level then switch the relational source This happens because the relational source is the only one that can provide customer data at the required level T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3, D1.c4 as c4, D1.c5 as c5, D1.c6 as c6, D1.c7 as c7 from (select T1915.COUNTRY_NAME as c1, T1927.CUST_CITY as c2, T1927.CUST_EMAIL as c3, T1927.CUST_CREDIT_LIMIT as c4, concat(concat(T1927.CUST_FIRST_NAME, ' - '), T1927.CUST_LAST_NAME) as c5, T203.CHANNEL_CLASS as c6, sum(T1960.AMOUNT_SOLD) as c7, T1927.CUST_ID as c8 from COUNTRIES T1915,CUSTOMERS T1927, CHANNELS T203,SALES T1960 where ( T203.CHANNEL_ID = T1960.CHANNEL_ID and T1915.COUNTRY_ID = T1927.COUNTRY_ID and T1915.COUNTRY_NAME = 'Australia' and T1927.CUST_CITY = 'Darwin' and T1927.CUST_ID = T1960.CUST_ID ) group by T203.CHANNEL_CLASS, T1915.COUNTRY_NAME, T1927.CUST_CITY, T1927.CUST_CREDIT_LIMIT, T1927.CUST_EMAIL, T1927.CUST_ID, concat(concat(T1927.CUST_FIRST_NAME, ' - '), T1927.CUST_LAST_NAME) ) D1 order by c1, c2, c3, c4, c5, c6
40. Vertical Federation Limitations Only Essbase outlines that are balanced and level-based can be federated Unbalanced/ragged hierarchies do not consistently map to BMM columns Value-based (parent-child) hierarchies will not federate due to lack of “levels” Therefore Essbase cubes that “look like” relational cubes are the best to federate Typically sales analysis, and cubes built to support OBIEE There is no “refresh” facility to bring in changed outlines into OBIEE Therefore only “stable” outlines are suitable for OBIEE No issues over ASO, BSO etc Versions of Essbase supported back to 7.x Though you will need supported versions to be able to use hierarchical columns Essbase 9.3.3+, 11.1.1.3.500, 11.1.2+ T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
41. Setting up Horizontal Federation (Relational alongside Essbase) You may have actuals data in a relational database, and forecast/budget data in Essbase It would be useful to report on these in a combined business model Measures of the same dimensionality can go in the same fact table Measures of differing dimensionality go in separate fact tables Users see a single combined data source Oracle BI Server combines the data at runtime New in 11g - can use LOOKUP function to retrieve relational descriptors etc T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
42. Displaying Essbase & Relational Data Together on Dashboards Relational and Essbase data can be displayed together in analyses, dashboards Navigation can be set up between Essbase aggregated data and relational detail T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
43. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Combining Essbase and Relational Data using OBIEE Demonstration
44. Mapviewer Integration OBIEE 11g comes with Oracle MapViewer integrated and included in license cost Display BI data using maps, layers, points of interest Integration with NAVTEQ maps, Google Maps, Bing Maps Perform spatial calculations using Oracle Locator (free) or Oracle Spatial Option T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
45. Key Performance Indicators KPIs can be defined based on actual and target measures Can combine relational and Essbase data, plus external data from files, services ertc Thresholds for good, bad etc performance can be set KPIs can be dimensioned (time, customer, product etc) T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
46. KPI Watchlists Users can define watchlists, to monitor their KPIs KPIs can be pinned, or user can analyze them by their allowed dimensions Supports collaboration with KPI owner to record comments etc T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
47. KPI Scorecards Arrange KPIs into hierarchies, strategies etc Define strategy trees, cause-and-effect relationships etc Weighting of KPIs Analyze by dimensions Embed in dashboards T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
48. OBIEE Scorecards vs. Hyperion Performance Scorecards Many features in common between the products Kaplan & Norton views, perspectives, concepts; focus around balanced scorecards However OBIEE 11g Scorecards are not upgrade or like/like replacement Focus is more on leveraging the Oracle BI Repository + data sources Some HPS features not present in OBIEE Scorecards (HSS integration etc) OBIEE Scorecard also features integration with agents, actions and other BI elements T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
49. BI Publisher Used for “pixel-perfect” published reporting to PDF, email, screen etc High-fidelity layout controls, bursting, distribution Can access Essbase either through OBIEE semantic layer, or through Essbase MDX T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
50. Actionable Intelligence OBIEE concept around “closed-loop” analytics Detect, action and then action your data Agents provide alerts, automation Actions provide links to external processes T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
51. Actions and Action Links Actions can be associated with columns through Action Links Drill to detail; navigate to report; invoke business process; initiate review Actions enable BI users to respond to insight discovered using dashboards, analyses T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
52. Using Actions for Essbase / EPM Suite Integration Actions can be used to enhance and extend OBIEE / Essbase Integration Launch HFM, FR etc passing BI credentials Writeback to Essbase database Run calc script, etc T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
53. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com MapViewer, Scorecards and Actionable Intelligence Demonstration
54. So Can OBIEE Replace WebAnalysis, Planning, Financial Mgmt etc? OBIEE analyses, dashboards can replace all functional aspects of Web Analysis FR is still preferable for non-trivial financial reports T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
55. ... and What Issues Are Still Outstanding? A number of minor, and major, issues are still outstanding for Essbase / EPM users Some are minor and will be addressed with bug fixes, enhancements Restoration of SSO between EPM workspace and OBIEE dashboard Requirement for multiple WLS homes, EM environments Some early-release bugs around value-based hierarchies, drilling, formulas etc Post 11.1.1.5 Essbase-specific patch due soon to address many issues Some are just limitations of how things work Cannot federate value-based hierarchies Slower queries and analysis compared to Smartview + Essbase Add-in Some are fundamental and require re-engineering of OBIEE Complex and fragmented MDX when using hierarchical columns Excessively expensive MDX when using selection steps T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
56. The Hierarchical Columns and Pivoting Issue Hierarchical columns generate one logical query per grouping For SQL queries, these are combined into a single SQL statement For Essbase queries, each grouping generates it’s own MDX query, plus others T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com With set [_Products1] as '{Distinct({[Products]})}' set [_Products2] as 'Generate({[_Products1]},[Products].currentmember.children)'select { [Measures].[Gross Revenue] } on columns, NON EMPTY {{[_Products2]}} properties GEN_NUMBER, [Products].[Memnor], [Products].[Ancestor_Names], [Products].[MEMBER_UNIQUE_NAME], [Products].[LEVEL_NUMBER] on rows from [BISAMPLE.Sample] With set [_Axis1Set] as '{Distinct({[Products]})}'select {} on columns, {[_Axis1Set]} properties GEN_NUMBER, [Products].[Memnor], [Products].[MEMBER_UNIQUE_NAME] on rows from [BISAMPLE.Sample] With set [_Axis1Set] as '{[Products].Generations(1).members}'select {} on columns, {[_Axis1Set]} properties GEN_NUMBER, [Products].[Memnor], [Products].[MEMBER_UNIQUE_NAME] on rows from [BISAMPLE.Sample] With set [_Axis1Set] as '{Distinct({[10002]})}'select {} on columns, {[_Axis1Set]} properties GEN_NUMBER, [Products].[Memnor], [Products].[Ancestor_Names], [Products].[MEMBER_UNIQUE_NAME] on rows from [BISAMPLE.Sample] With set [_Products2] as '{Distinct({[10002]})}' set [_Products3] as 'Generate({[_Products2]},[Products].currentmember.children)'select { [Measures].[Gross Revenue] } on columns, NON EMPTY {{[_Products3]}} properties GEN_NUMBER, [Products].[Memnor], [Products].[Ancestor_Names], [Products].[MEMBER_UNIQUE_NAME], [Products].[LEVEL_NUMBER] on rows from [BISAMPLE.Sample] 1 2 3 4 5
57. Issue Compounded by > Hierarchical Column Issue becomes worse when >1 hierarchical column & pivoting is included in analysis & Many more sub-groupings are created leading to excessivly expensive SQL Workaround #1 : Size your system to expect greater numbers of small MDX queries Workaround #2 : Try to limit analyses to a single hierarchical column on row-edge Workaround #3 : Enable caching - 11g subquery caching can significantly improve perf. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com =58 separate MDX queries
58. The Selection Steps Issue Selection steps (member steps) are used extensively in 11g for Essbase data Provides an Essbase-like environment for filtering, selecting and calculating data T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com 1 2 3
59. Selection Steps Multiply the Number of Physical MDX Generated Issue is that selection steps will multiple the number of physical MDXs sent to Essbase Issues also affects relational sources, but SQLs are usually combined into one # logical SQLs = (# steps in Dim1 x # steps Dim 2 x # steps Dim n ) + Grand Total SQL # MDX queries = 1 or 2 per logical SQL Coupled with hierarchical columns & pivoting, can cause excessive MDX query load T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com With set [_Market2] as '{Distinct({[East], [West]})}' set [_Year2] as '{Distinct({[Qtr1], [Qtr2]})}'select { [Measures].[Sales] } on columns, NON EMPTY {crossjoin({[_Market2]},{[_Year2]})} properties GEN_NUMBER, [Market].[LEVEL_NUMBER], [Year].[MEMBER_UNIQUE_NAME], [Year].[Memnor], [Market].[MEMBER_UNIQUE_NAME], [Market].[Memnor], [Year].[LEVEL_NUMBER] on rows from [Sample.Basic] With set [_Market2] as '[Market].Generations(2).members' set [_Year2] as '{Distinct({[Qtr1], [Qtr2]})}'select { [Measures].[Sales] } on columns, NON EMPTY {crossjoin({[_Market2]},{[_Year2]})} properties GEN_NUMBER, [Year].[MEMBER_UNIQUE_NAME], [Year].[Memnor], [Market].[MEMBER_UNIQUE_NAME], [Year].[LEVEL_NUMBER] on rows from [Sample.Basic] With set [_Market2] as '[Market].Generations(2).members' set [_Year2] as '{Distinct({[Qtr1], [Qtr2]})}'select { [Measures].[Sales] } on columns, NON EMPTY {crossjoin({[_Market2]},{[_Year2]})} properties GEN_NUMBER, [Year].[MEMBER_UNIQUE_NAME], [Year].[Memnor], [Market].[MEMBER_UNIQUE_NAME], [Year].[LEVEL_NUMBER] on rows from [Sample.Basic] With set [_Market2] as '[Market].Generations(2).members' set [_Year2] as '[Year].Generations(2).members'select { [Measures].[Sales] } on columns, NON EMPTY {crossjoin({[_Market2]},{[_Year2]})} properties GEN_NUMBER, [Year].[MEMBER_UNIQUE_NAME], [Market].[MEMBER_UNIQUE_NAME] on rows from [Sample.Basic]
60. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Hierarchical Columns, Pivoting and Selection Steps Issues Demonstration
61. The Value-Based Hierarchy Issue (or “Gotcha”) Value-based (Parent-Child) hierarchy support are a useful addition in OBIEE 11g Removes need to re-import Essbase database if new generations added to dimension All members are in the same logical column; no need to create new ones for new Essbase generation Allows member searches to work against single logical column More “natural” way of holding member data for Essbase users T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
62. Value-Based Hierarchies and Vertical Federation Given the benefits of value-based hierarchies for changing outlines, customers often enable them for all dimensions in OBIEE 11g ... ... and then want to set up drill-to-detail analyses using vertical federation ... which require defined levels to join logical table sources together ... which value-based hierarchies do not have Workaround : Analyze Essbase and Relational separately, link by actions that pass hierarchical column selection values through hidden attribute columns T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
63. New Ways of Doing Things Most Essbase users access data through the Excel Add-in Uses Query-by-Example approach to retrieve data Combined with Excel flexibility, gives lots of options to access data To produce similar reports, different approaches are required with OBIEE Use of FILTER and time-series functions Adaptation for structured cross-tab style interface vs. free-form Excel T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
64. Combining OBIEE Functions and Essbase Data Time-offsets can be generated using OBIEE Time-Series functions AGO , TODATE , PERIODROLLING Intersections of dimension members (Accounts, Scenarios) using FILTER function Combine OBIEE analytic functions with Essbase member references Requires learning OBIEE function syntax and combining with Essbase skills T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
65. OBIEE Analytic Function Examples FILTER(measure USING expr) Allows you to filter generic measure by dimension member, i.e. measure by Profit account, and Budget scenario AGO , TODATE , PERIODROLLING Generate year-to-date, period ago, rolling total Pushes down to equivalent MDX EVALUATE , EVALUTE_AGGR Leverage native MDX functions T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
66. Excel Add-in/SmartView and OBIEE are Complementary Tools OBIEE does not remove need for Excel add-in or SmartView Common mistake is to think it’s “all-or-nothing” Still a role for Excel add-in for finance/analyst use OBIEE is great for mass-distribution of financial data, combining it with other data Accessing Essbase data requires combined Essbase / OBIEE skills T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
67. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Analytics and Dimension/Measure Access using OBIEE Demonstration
68. Summary OBIEE 11g introduces a number of new features Essbase customers were waiting for Proper OLAP analysis with hierarchical member selection Support for value-based hierarchies, so that outline changes don’t need re-import Support for multiple aliases, UDAs, multiple hierarchies, filters etc OBIEE also provides many additional features that will benefit Essbase customers Mapping, scorecards, better visualizations Action Framework, integration with Fusion Middleware But the 11g release also brings its own new issues Excessive number of MDX statements for pivoting OLAP-style queries Selection steps can exacerbate this issue by exponentially adding more MDX queries Value-based hierarchies have their own “gotchas” Don’t try to 100%-replace Excel Add-in With OBIEE Tools are complementary, have their own strengths Be prepared to learn OBIEE dev techniques as well as Essbase ones T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
69. More Information Thank you for attending this presentation More information can be found at http://www.rittmanmead.com Contact us at [email_address] or [email_address] Look out for our book, “Oracle Business Intelligence Developers Guide” due Q1 2012 Follow-us on Twitter (@rittmanmead) or Facebook (facebook.com/rittmanmead) T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com
70. T : +44 (0) 8446 697 995 or (888) 631 1410 (USA) E : [email_address] W: www.rittmanmead.com Mark Rittman, Director, Rittman Mead OUG Hyperion Conference, June 2011 OBIEE 11g for Hyperion Users - Are We There Yet?
Editor's Notes
#46: RM: In our model, we have a number of measures that make up the inputs into our KPIS RM : In OBIEE 11g, I can now set these KPIs up in the web catalog as first-class objects. These now track performance against these targets, and can be accessed by any authorized user
#47: RM : I can also put these KPIs into KPI Watchlists, which I can add to the relevant dashboard page
#48: RM: I can also create in OBIEE 11g a scorecard, taking the objectives defined by the CEO earlier on, assigning the KPIs to them, and then setting up dimensions so that it can be analyzed by the things that make up the business