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.
Deploying Full Oracle BI Platforms to Oracle Cloud - OOW2015Mark Rittman
- Mark Rittman presented on deploying full OBIEE systems to Oracle Cloud. This involves migrating the data warehouse to Oracle Database Cloud Service, updating the RPD to connect to the cloud database, and uploading the RPD to Oracle BI Cloud Service. Using the wider Oracle PaaS ecosystem allows hosting a full BI platform in the cloud.
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.
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
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.
Presentation delivered at Oracle Open World 2019 (San Francisco, California)
Abstract: This session walks through everything you need to know to move your databases to Oracle Cloud, based on the speakers’ own experience in doing it, focused on Oracle Exadata cloud services. The speakers review the configuration required, common problems they had to resolve in the process of having several TB databases running in Oracle Cloud, and operational tasks after they were running there.
What is the Oracle PaaS Cloud for Developers (Oracle Cloud Day, The Netherlan...Lucas Jellema
The promise of the cloud is substantial. Oracle's public cloud promise goes beyond the generic promise. This presentation describes the promise of the Oracle Public Cloud specifically for developers. It describes the current state of the PaaS Platform, the actual and coming services and what they could mean to a developer. From same platform, different location (DBaaS, JCS) to cloud native stack (ICS, MCS) and services for Citizen Developers, the presentation touches upon virtually all services relevant to developers. The presentation concludes with first the steps enterprises can start taking to move to the cloud and second the steps individual developers could and perhaps should take in order to conquer the clouds.
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.
Presentación sobre la futura base de datos 18c, en la cual se incorpora todo lo mejor de las tecnologías Oracle, perfilando así una base de datos autónoma.
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
Presentación sobre el lifecycle management, y cómo desde la consola de Enterprise Cloud Control podemos ser capaces de gestionar una base de datos de principio a fin.
6Reinventing Oracle Systems in a Cloudy World (Sangam20, December 2020)Lucas Jellema
The cloud is changing many things. Even the decision to not (yet) adopt the cloud is one to make explicitly. Now is a time for any organization to reconsider the IT landscape. For each system, we should make a conscious ruling on its roadmap. The 6R model suggests six ways to move a system forward. This session uses the 6R model and applies it specifically to Oracle technology-based systems: what are the options and considerations for Oracle Database, Oracle Fusion Middleware, custom applications and other red components. What future should we consider and how do we choose? The paths chosen by several Oracle-heavy users is presented to illustrate these options and the decision making process. Oracle Cloud Infrastructure and Autonomous Database play a role, as do Azure IaaS and Azure Managed Database as well as on-premises systems. Latency, recovery, scalability, licenses, automation, lock-in, skills and resources all make their appearance.
Systems on the edge - your stepping stones into Oracle Public PaaS Cloud - AM...Lucas Jellema
Adoption of the cloud will not start with the core enterprise applications. There are several ways to start the adoption. One is to move in from training environments through development and test to production. Another takes the importance of applications into consideration, starting with secondary, supporting systems. The approach discussed in this session is to start with edge systems that are already in the DMZ, on the fringes of an enterprises, where they engage in interaction with the outside world.
Systems on the edge of an enterprise have special challenges regarding availability, scalability, security and external interactions with systems or people. This applies for example to external portals, B2B interactions, workflows that involve external actors, mobile APIs and integrations with SaaS instances. These systems are obvious candidates to move to a public cloud - and handle these special requirements on the PaaS platform. This session discusses and demonstrates a number of Oracle PaaS Cloud Services, their mutual interaction and how they can be leveraged to move these systems over the edge and into the cloud: Java Cloud Service, Integration Cloud Service, Process Cloud Service, IoT CS, Mobile Cloud Service, SOA Suite Cloud Service and Message Cloud Service. We will go over a number of scenarios for moving edge systems from on premises to the public cloud. Essential in this discussion is of course the integration from the edge system in the Oracle Public Cloud to the on premises backend systems.
Bridging Oracle Database and Hadoop by Alex Gorbachev, Pythian from Oracle Op...Alex Gorbachev
Modern big data solutions often incorporate Hadoop as one of the components and require the integration of Hadoop with other components including Oracle Database. This presentation explains how Hadoop integrates with Oracle products focusing specifically on the Oracle Database products. Explore various methods and tools available to move data between Oracle Database and Hadoop, how to transparently access data in Hadoop from Oracle Database, and review how other products, such as Oracle Business Intelligence Enterprise Edition and Oracle Data Integrator integrate with Hadoop.
Presentación de Oracle Database Cloud Service como servicio en la nube, tema de interés puntero puesto que actualmente la dirección de las empresas va en ese punto de llevar sus bases de datos y aplicaciones a la nube.
Monitor Engineered Systems from a Single Pane of Glass: Oracle Enterprise Man...Alfredo Krieg
The document discusses enabling monitoring of engineered systems using Oracle Enterprise Manager 12c. It describes discovering the components of Exadata Database Machine, Exalogic Elastic Cloud, and Exalytics In-Memory Machine using the OEM 12c interface and plugins. The key steps include installing OEM agents, configuring prerequisites, discovering the systems, and customizing the monitoring setup.
Oracle OpenWorld 2016 focused on several key themes:
1. A shift away from a single, central Oracle database and toward distributed architectures like PDBs, sharding, Hadoop, and machine learning.
2. Adopting open source technologies and industry trends like Node.js, Docker, microservices, and Python.
3. Advancing Oracle's cloud strategy through migration tools, cloud@customer, and subscription models while improving the user experience of SaaS applications.
- Oracle provides various UI technologies including PL/SQL, Java, JavaScript, and low-code options for developing desktop, web, and mobile applications. Key technologies include ADF, JET, MAF, ABCS, and Project Visual Code.
- Updates to ADF include support for Java 8 and Java EE 7. JET provides new components, samples, and is used in hardware products. ABCS upgraded to JET 2.0 with improved responsive design and security.
- Oracle also offers tools for UX design, application performance monitoring, mobile services, and rapid development kits to assist with application development.
This document provides an overview of REST APIs and discusses why REST is commonly preferred over SOAP. It describes various REST API description languages (ADLs) like Swagger, RAML, and WADL and compares their support in Oracle products. It also provides examples of describing a sample Norwegian dataset API in RAML and implementing REST support in SOA Suite, including creating WADLs from other ADLs or using the REST adapter. The document concludes with discussing REST support in Java EE and Oracle PaaS products.
The AMIS Team reviewed Oracle OpenWorld 2016 in Nieuwegein, Netherlands on October 13th. Some key themes discussed included Oracle focusing on growing its Infrastructure as a Service capabilities to better compete with Amazon Web Services, introducing new IaaS options that provide high performance networking and storage, and deploying IaaS both on-premises and in Oracle's public cloud. The document also covered Oracle expanding its Platform as a Service and Software as a Service offerings, including evolving traditional on-premises applications like E-Business Suite for deployment in Oracle's public cloud.
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Lucas Jellema
This presentation gives an overview of major steps in the history of the product portfolio of Oracle Corporation. It discuss in some detail the features, editions and options available with Oracle Database and introduces the components in Fusion Middleware. Cloud is touched upon - but not discussed in depth.
The document provides an overview of Oracle's engineered systems and cloud services that were presented at Oracle OpenWorld 2016. Some key points:
- Exadata Express Cloud Service allows users to run Exadata on Oracle's public cloud infrastructure. A spectrum of Oracle Database Cloud Services was also introduced.
- Exadata SL combines Sparc T7 processors with Exadata storage in a Linux-based system for analytics workloads.
- Cloud@Customer allows users to run Oracle Cloud infrastructure within their own data centers. Options include pre-configured racks with elastic pricing and the ability to develop and manage both Oracle and non-Oracle workloads on the same platform.
- Updates were provided for products like Exalogic,
This is an overview of the cloud offering from key players, focused on Oracle Cloud (also Google and AWS), including costs, changes in architecture and operations, and the new role of the DBA with the outline of the migration procedure, backups and DR in this new world.
Open innovation and collaboration between IBM and other technology companies is fueling advances in cloud computing, big data analytics, and software development. This includes contributions to open source projects like Linux as well as partnerships through organizations like the OpenPOWER Foundation. New systems based on IBM's Power architecture and optimized for Linux are helping customers improve the performance and efficiency of their analytics, database, and application workloads.
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.
This session will show some useful data visualisation tips and how they can be used in Oracle Business Intelligence and Data Visualization Cloud Services
http://www.kpipartners.com/webinar-cloud-analytics-for-ebusiness-suite
Relative to traditional business intelligence solutions, Cloud BI is offering a timely and cost-effective path for businesses of all sizes to maximize potential while minimizing costs.
To make the most of a Cloud BI investment, businesses should look for an easy-to-use solution that offers substantial content and features that are quick to deploy and scalable as data and user requirements grow. Each business should also consider their own unique needs with respect to data capability, data discovery, analytics, reporting, and flexibility.
As a three-time Oracle Specialized Partner of the Year, KPI Partners continues to be on the leading edge of innovation in the business intelligence space. The new KPI Cloud Analytics for Oracle E-Business Suite leverages the flexibility of Oracle BI Cloud Service (BICS) and provides a robust pre-built analytical solution for all major Oracle E-Business Suite modules. Packed with over 50 subject areas, 100+ pre-built dashboards, and powerful ad-hoc capabilities, every line-of-business has a solid starting point to tailor KPI Cloud Analytics for Oracle E-Business Suite to their unique needs without any infrastructure dependency.
Join team members from Oracle and KPI Partners for this virtual event that outlines an option for Oracle E-Business Suite and Cloud BI. Our panelists will explore:
- Challenges w/ Existing EBS Reporting Solutions
- What is Oracle BI Cloud Service (BICS)?
- Oracle BICS Demo
- What is KPI Cloud Analytics for EBS?
- KPI Cloud Analytics Demo
Presentación sobre la futura base de datos 18c, en la cual se incorpora todo lo mejor de las tecnologías Oracle, perfilando así una base de datos autónoma.
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
Presentación sobre el lifecycle management, y cómo desde la consola de Enterprise Cloud Control podemos ser capaces de gestionar una base de datos de principio a fin.
6Reinventing Oracle Systems in a Cloudy World (Sangam20, December 2020)Lucas Jellema
The cloud is changing many things. Even the decision to not (yet) adopt the cloud is one to make explicitly. Now is a time for any organization to reconsider the IT landscape. For each system, we should make a conscious ruling on its roadmap. The 6R model suggests six ways to move a system forward. This session uses the 6R model and applies it specifically to Oracle technology-based systems: what are the options and considerations for Oracle Database, Oracle Fusion Middleware, custom applications and other red components. What future should we consider and how do we choose? The paths chosen by several Oracle-heavy users is presented to illustrate these options and the decision making process. Oracle Cloud Infrastructure and Autonomous Database play a role, as do Azure IaaS and Azure Managed Database as well as on-premises systems. Latency, recovery, scalability, licenses, automation, lock-in, skills and resources all make their appearance.
Systems on the edge - your stepping stones into Oracle Public PaaS Cloud - AM...Lucas Jellema
Adoption of the cloud will not start with the core enterprise applications. There are several ways to start the adoption. One is to move in from training environments through development and test to production. Another takes the importance of applications into consideration, starting with secondary, supporting systems. The approach discussed in this session is to start with edge systems that are already in the DMZ, on the fringes of an enterprises, where they engage in interaction with the outside world.
Systems on the edge of an enterprise have special challenges regarding availability, scalability, security and external interactions with systems or people. This applies for example to external portals, B2B interactions, workflows that involve external actors, mobile APIs and integrations with SaaS instances. These systems are obvious candidates to move to a public cloud - and handle these special requirements on the PaaS platform. This session discusses and demonstrates a number of Oracle PaaS Cloud Services, their mutual interaction and how they can be leveraged to move these systems over the edge and into the cloud: Java Cloud Service, Integration Cloud Service, Process Cloud Service, IoT CS, Mobile Cloud Service, SOA Suite Cloud Service and Message Cloud Service. We will go over a number of scenarios for moving edge systems from on premises to the public cloud. Essential in this discussion is of course the integration from the edge system in the Oracle Public Cloud to the on premises backend systems.
Bridging Oracle Database and Hadoop by Alex Gorbachev, Pythian from Oracle Op...Alex Gorbachev
Modern big data solutions often incorporate Hadoop as one of the components and require the integration of Hadoop with other components including Oracle Database. This presentation explains how Hadoop integrates with Oracle products focusing specifically on the Oracle Database products. Explore various methods and tools available to move data between Oracle Database and Hadoop, how to transparently access data in Hadoop from Oracle Database, and review how other products, such as Oracle Business Intelligence Enterprise Edition and Oracle Data Integrator integrate with Hadoop.
Presentación de Oracle Database Cloud Service como servicio en la nube, tema de interés puntero puesto que actualmente la dirección de las empresas va en ese punto de llevar sus bases de datos y aplicaciones a la nube.
Monitor Engineered Systems from a Single Pane of Glass: Oracle Enterprise Man...Alfredo Krieg
The document discusses enabling monitoring of engineered systems using Oracle Enterprise Manager 12c. It describes discovering the components of Exadata Database Machine, Exalogic Elastic Cloud, and Exalytics In-Memory Machine using the OEM 12c interface and plugins. The key steps include installing OEM agents, configuring prerequisites, discovering the systems, and customizing the monitoring setup.
Oracle OpenWorld 2016 focused on several key themes:
1. A shift away from a single, central Oracle database and toward distributed architectures like PDBs, sharding, Hadoop, and machine learning.
2. Adopting open source technologies and industry trends like Node.js, Docker, microservices, and Python.
3. Advancing Oracle's cloud strategy through migration tools, cloud@customer, and subscription models while improving the user experience of SaaS applications.
- Oracle provides various UI technologies including PL/SQL, Java, JavaScript, and low-code options for developing desktop, web, and mobile applications. Key technologies include ADF, JET, MAF, ABCS, and Project Visual Code.
- Updates to ADF include support for Java 8 and Java EE 7. JET provides new components, samples, and is used in hardware products. ABCS upgraded to JET 2.0 with improved responsive design and security.
- Oracle also offers tools for UX design, application performance monitoring, mobile services, and rapid development kits to assist with application development.
This document provides an overview of REST APIs and discusses why REST is commonly preferred over SOAP. It describes various REST API description languages (ADLs) like Swagger, RAML, and WADL and compares their support in Oracle products. It also provides examples of describing a sample Norwegian dataset API in RAML and implementing REST support in SOA Suite, including creating WADLs from other ADLs or using the REST adapter. The document concludes with discussing REST support in Java EE and Oracle PaaS products.
The AMIS Team reviewed Oracle OpenWorld 2016 in Nieuwegein, Netherlands on October 13th. Some key themes discussed included Oracle focusing on growing its Infrastructure as a Service capabilities to better compete with Amazon Web Services, introducing new IaaS options that provide high performance networking and storage, and deploying IaaS both on-premises and in Oracle's public cloud. The document also covered Oracle expanding its Platform as a Service and Software as a Service offerings, including evolving traditional on-premises applications like E-Business Suite for deployment in Oracle's public cloud.
Overview of Oracle Product Portfolio (focus on Platform) - April, 2017Lucas Jellema
This presentation gives an overview of major steps in the history of the product portfolio of Oracle Corporation. It discuss in some detail the features, editions and options available with Oracle Database and introduces the components in Fusion Middleware. Cloud is touched upon - but not discussed in depth.
The document provides an overview of Oracle's engineered systems and cloud services that were presented at Oracle OpenWorld 2016. Some key points:
- Exadata Express Cloud Service allows users to run Exadata on Oracle's public cloud infrastructure. A spectrum of Oracle Database Cloud Services was also introduced.
- Exadata SL combines Sparc T7 processors with Exadata storage in a Linux-based system for analytics workloads.
- Cloud@Customer allows users to run Oracle Cloud infrastructure within their own data centers. Options include pre-configured racks with elastic pricing and the ability to develop and manage both Oracle and non-Oracle workloads on the same platform.
- Updates were provided for products like Exalogic,
This is an overview of the cloud offering from key players, focused on Oracle Cloud (also Google and AWS), including costs, changes in architecture and operations, and the new role of the DBA with the outline of the migration procedure, backups and DR in this new world.
Open innovation and collaboration between IBM and other technology companies is fueling advances in cloud computing, big data analytics, and software development. This includes contributions to open source projects like Linux as well as partnerships through organizations like the OpenPOWER Foundation. New systems based on IBM's Power architecture and optimized for Linux are helping customers improve the performance and efficiency of their analytics, database, and application workloads.
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.
This session will show some useful data visualisation tips and how they can be used in Oracle Business Intelligence and Data Visualization Cloud Services
http://www.kpipartners.com/webinar-cloud-analytics-for-ebusiness-suite
Relative to traditional business intelligence solutions, Cloud BI is offering a timely and cost-effective path for businesses of all sizes to maximize potential while minimizing costs.
To make the most of a Cloud BI investment, businesses should look for an easy-to-use solution that offers substantial content and features that are quick to deploy and scalable as data and user requirements grow. Each business should also consider their own unique needs with respect to data capability, data discovery, analytics, reporting, and flexibility.
As a three-time Oracle Specialized Partner of the Year, KPI Partners continues to be on the leading edge of innovation in the business intelligence space. The new KPI Cloud Analytics for Oracle E-Business Suite leverages the flexibility of Oracle BI Cloud Service (BICS) and provides a robust pre-built analytical solution for all major Oracle E-Business Suite modules. Packed with over 50 subject areas, 100+ pre-built dashboards, and powerful ad-hoc capabilities, every line-of-business has a solid starting point to tailor KPI Cloud Analytics for Oracle E-Business Suite to their unique needs without any infrastructure dependency.
Join team members from Oracle and KPI Partners for this virtual event that outlines an option for Oracle E-Business Suite and Cloud BI. Our panelists will explore:
- Challenges w/ Existing EBS Reporting Solutions
- What is Oracle BI Cloud Service (BICS)?
- Oracle BICS Demo
- What is KPI Cloud Analytics for EBS?
- KPI Cloud Analytics Demo
Profile of BICS InfoTech, Yelagiri Hills (Institute for empowerment of underprivileged rural youth of South-India. BICS comprised of Professional College, Technology Resource Center and Knowledge Resource Centre.
The document discusses Oracle's business intelligence cloud services, including Oracle Transactional Business Intelligence - Enterprise (OTBI-E) and Oracle BI Cloud Services (BICS). OTBI-E provides prebuilt analytics for lines of business deployed in the cloud. BICS is a platform as a service that provides a self-service business intelligence platform in the cloud with data loading and modeling capabilities. The services aim to empower lines of business with flexible analytics while maintaining control and security for IT.
This document discusses Oracle's cloud business intelligence and analytics offerings. It describes the Oracle Business Intelligence Cloud Service (BICS) which provides a subscription-based, multi-tenant enterprise BI platform in the cloud built on Oracle's proven BI technologies. It also discusses Oracle Transactional Business Intelligence (OTBI) which provides real-time analytics for human capital management and Oracle Big Data Discovery, a visual tool for exploring and analyzing big data stored in Hadoop.
BICS empowers predictive analytics and customer centricity with a Hadoop base...DataWorks Summit
BICS uses a Hadoop data lake powered by the Informatica Big Data Platform to enable predictive analytics and customer centricity. The data lake provides scalable storage and processing for billions of telecommunications transactions. BICS aims to migrate more analytics and reporting from its Teradata data warehouse to Hadoop to gain cost efficiencies and handle increasing data volumes and complex analytics. The roadmap includes moving near real-time subscriber tracking to Hadoop while maintaining low latency, as well as computing new analytics and providing longer term historical reporting from Hadoop.
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.
A Customer's Take on Moving from Discoverer to Oracle Business AnalyticsPerficient, Inc.
If you’re among the many Oracle E-Business Suite customers still using Discoverer for your reporting and analytics needs, change is inevitable. But it doesn’t have to be disruptive to your business. For Group Voyagers, a group of leading escorted tour, river cruise and independent travel package companies, moving off Discoverer took just nine weeks!
Gary Aragon, accounting manager at Group Voyagers, joined us to discuss the company’s long-term reporting strategy and how it was able to successfully migrate to Oracle BI Enterprise Edition (OBIEE). Discussion included:
-Replacement Options - OBIEE and Oracle Analytics Cloud
-Best practices, methodologies, and deployment risks
-User adoption
-Benefits realized with OBIEE
Clinical Data Repository vs. A Data Warehouse - Which Do You Need?Health Catalyst
It can be confusing to know whether or not your health system needs to add a data warehouse unless you understand how it’s different from a clinical data repository. A clinical data repository consolidates data from various clinical sources, such as an EMR, to provide a clinical view of patients. A data warehouse, in comparison, provides a single source of truth for all types of data pulled in from the many source systems across the enterprise. The data warehouse also has these benefits: a faster time to value, flexible architecture to make easy adjustments, reduction in waste and inefficiencies, reduced errors, standardized reports, decreased wait times for reports, data governance and security.
Database vs Data Warehouse: A Comparative ReviewHealth Catalyst
What are the differences between a database and a data warehouse? A database is any collection of data organized for storage, accessibility, and retrieval. A data warehouse is a type of database the integrates copies of transaction data from disparate source systems and provisions them for analytical use. The important distinction is that data warehouses are designed to handle analytics required for improving quality and costs in the new healthcare environment. A transactional database, like an EHR, doesn’t lend itself to analytics.
Delivering the Data Factory, Data Reservoir and a Scalable Oracle Big Data Ar...Mark Rittman
Presentation from the Rittman Mead BI Forum 2015 masterclass, pt.2 of a two-part session that also covered creating the Discovery Lab. Goes through setting up Flume log + twitter feeds into CDH5 Hadoop using ODI12c Advanced Big Data Option, then looks at the use of OBIEE11g with Hive, Impala and Big Data SQL before finally using Oracle Big Data Discovery for faceted search and data mashup on-top of Hadoop
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
BIWA2015 - Bringing Oracle Big Data SQL to OBIEE and ODIMark Rittman
The document discusses Oracle's Big Data SQL, which brings Oracle SQL capabilities to Hadoop data stored in Hive tables. It allows querying Hive data using standard SQL from Oracle Database and viewing Hive metadata in Oracle data dictionary tables. Big Data SQL leverages the Hive metastore and uses direct reads and SmartScan to optimize queries against HDFS and Hive data. This provides a unified SQL interface and optimized query processing for both Oracle and Hadoop data.
UKOUG Tech 15 - Migration from Oracle Warehouse Builder to Oracle Data Integr...Jérôme Françoisse
This document discusses migrating from Oracle Warehouse Builder (OWB) to Oracle Data Integrator (ODI). It describes the similarities and differences between OWB and ODI, the migration utility for converting OWB objects to ODI, the steps for performing a migration, and issues that may be encountered such as mappings that do not migrate or require changes. It also covers OWB and ODI architecture and using the ODI scheduler and monitoring tools.
Part 1 - Introduction to Hadoop and Big Data Technologies for Oracle BI & DW ...Mark Rittman
Delivered as a one-day seminar at the SIOUG and HROUG Oracle User Group Conferences, October 2014
In this presentation we cover some key Hadoop concepts including HDFS, MapReduce, Hive and NoSQL/HBase, with the focus on Oracle Big Data Appliance and Cloudera Distribution including Hadoop. We explain how data is stored on a Hadoop system and the high-level ways it is accessed and analysed, and outline Oracle’s products in this area including the Big Data Connectors, Oracle Big Data SQL, and Oracle Business Intelligence (OBI) and Oracle Data Integrator (ODI).
Using Endeca with Oracle Exalytics - Oracle France BI Customer Event, October...Mark Rittman
Short presentation at the Oracle France BI Customer event in Paris, October 2013, on the advantage of running Endeca Information Discovery on Oracle Exalytics In-Memory Machine.
What is Big Data Discovery, and how it complements traditional business anal...Mark Rittman
Data Discovery is an analysis technique that complements traditional business analytics, and enables users to combine, explore and analyse disparate datasets to spot opportunities and patterns that lie hidden within your data. Oracle Big Data discovery takes this idea and applies it to your unstructured and big data datasets, giving users a way to catalogue, join and then analyse all types of data across your organization.
In this session we'll look at Oracle Big Data Discovery and how it provides a "visual face" to your big data initatives, and how it complements and extends the work that you currently do using business analytics tools.
Real-Time Data Replication to Hadoop using GoldenGate 12c AdaptorsMichael Rainey
Oracle GoldenGate 12c is well known for its highly performant data replication between relational databases. With the GoldenGate Adaptors, the tool can now apply the source transactions to a Big Data target, such as HDFS. In this session, we'll explore the different options for utilizing Oracle GoldenGate 12c to perform real-time data replication from a relational source database into HDFS. The GoldenGate Adaptors will be used to load movie data from the source to HDFS for use by Hive. Next, we'll take the demo a step further and publish the source transactions to a Flume agent, allowing Flume to handle the final load into the targets.
Presented at the Oracle Technology Network Virtual Technology Summit February/March 2015.
TimesTen - Beyond the Summary Advisor (ODTUG KScope'14)Mark Rittman
Presentation from ODTUG KScope'14, Seattle, on using TimesTen as a standalone analytic database, and going beyond the use of the Exalytics Summary Advisor.
Part 4 - Hadoop Data Output and Reporting using OBIEE11gMark Rittman
Delivered as a one-day seminar at the SIOUG and HROUG Oracle User Group Conferences, October 2014.
Once insights and analysis have been produced within your Hadoop cluster by analysts and technical staff, it’s usually the case that you want to share the output with a wider audience in the organisation. Oracle Business Intelligence has connectivity to Hadoop through Apache Hive compatibility, and other Oracle tools such as Oracle Big Data Discovery and Big Data SQL can be used to visualise and publish Hadoop data. In this final session we’ll look at what’s involved in connecting these tools to your Hadoop environment, and also consider where data is optimally located when large amounts of Hadoop data need to be analysed alongside more traditional data warehouse datasets
Deep-Dive into Big Data ETL with ODI12c and Oracle Big Data ConnectorsMark Rittman
- The document discusses Oracle tools for extracting, transforming, and loading (ETL) big data from Hadoop into Oracle databases, including Oracle Data Integrator 12c, Oracle Loader for Hadoop, and Oracle Direct Connector for HDFS.
- It provides an overview of using Hadoop for ETL tasks like data loading, processing, and exporting data to structured databases, as well as tools like Hive, Pig, and Spark for these functions.
- Key benefits of the Oracle Hadoop connectors include pushing data transformations to Hadoop clusters for scale and leveraging SQL interfaces to access Hadoop data for business intelligence.
End to-end hadoop development using OBIEE, ODI, Oracle Big Data SQL and Oracl...Mark Rittman
This document discusses an end-to-end example of using Hadoop, OBIEE, ODI and Oracle Big Data Discovery to analyze big data from various sources. It describes ingesting website log data and Twitter data into a Hadoop cluster, processing and transforming the data using tools like Hive and Spark, and using the results for reporting in OBIEE and data discovery in Oracle Big Data Discovery. ODI is used to automate the data integration process.
Leveraging Hadoop with OBIEE 11g and ODI 11g - UKOUG Tech'13Mark Rittman
The latest releases of OBIEE and ODI come with the ability to connect to Hadoop data sources, using MapReduce to integrate data from clusters of "big data" servers complementing traditional BI data sources. In this presentation, we will look at how these two tools connect to Apache Hadoop and access "big data" sources, and share tips and tricks on making it all work smoothly.
UKOUG Tech'14 Super Sunday : Deep-Dive into Big Data ETL with ODI12cMark Rittman
This document discusses using Hadoop and Hive for ETL work. It provides an overview of using Hadoop for distributed processing and storage of large datasets. It describes how Hive provides a SQL interface for querying data stored in Hadoop and how various Apache tools can be used to load, transform and store data in Hadoop. Examples of using Hive to view table metadata and run queries are also presented.
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.
ODI12c as your Big Data Integration HubMark Rittman
Presentation from the recent Oracle OTN Virtual Technology Summit, on using Oracle Data Integrator 12c to ingest, transform and process data on a Hadoop cluster.
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.
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.
The document discusses Endeca, a product for delivering search and navigation capabilities. It provides an overview of Endeca 3.0's components, including the Endeca Server, Integrator Server, and Portal. It also covers how Endeca integrates with other technologies like Oracle BI Publisher, and how to configure Endeca, map data, implement security features, and optimize installations.
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.
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
Oracle Big Data Spatial & Graph Social Media Analysis - Case StudyMark Rittman
Deploying OBIEE in the Cloud - Oracle Openworld 2014
1. Deploying OBIEE in the Cloud:
Getting Started, Deployment Scenarios
and Best Practices
Mark Rittman, CTO, Rittman Mead
Oracle Openworld 2014, San Francisco
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2. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
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About the Speaker
•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 two Oracle Press Oracle BI books
•Oracle Business Intelligence Developers Guide
•Oracle Exalytics Revealed
•Writer for Rittman Mead Blog :
http://www.rittmanmead.com/blog
•Email : [email protected]
•Twitter : @markrittman
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About Rittman Mead
•Oracle BI and DW Gold partner
•Winner of five UKOUG Partner of the Year awards in 2013 - including BI
•World leading specialist partner for technical excellence,
solutions delivery and innovation in Oracle BI
•Approximately 80 consultants worldwide
•All expert in Oracle BI and DW
•Offices in US (Atlanta), Europe, Australia and India
•Skills in broad range of supporting Oracle tools:
‣OBIEE, OBIA
‣ODIEE
‣Essbase, Oracle OLAP
‣GoldenGate
‣Endeca
4. Deploying OBIEE in the Cloud
•Many OBIEE customers are considering deploying their BI
infrastructure in the “cloud”
•“Push” and “Pull” factors in-play
‣Perceived benefits in reducing amount of on-premise servers,
software installs, upfront-license costs
‣May also be prompted by migration of rest of IT infrastructure
to the cloud
‣To enable business agility - deploy the system now
-And potentially reduce dependency on IT department
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5. Enabling Business Agility - Rapid Development in the Cloud
•Example cloud use of OBIEE - accelerating the BI development process
‣Combines agile development (“ExtremeBI”) with OBIEE deployed into Amazon AWS
‣Cloud element allows development to start now
‣Options for repatriating on-premise afterwards
•Based on Amazon AWS (EC2, S3) and Oracle BI
•More details at
http://www.rittmanmead.com/cloudbi/
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6. Options for Deploying OBIEE in the Cloud
•Deploy it yourself into a public cloud (Amazon AWS, Microsoft Azure, Rackspace etc)
•Buy it as a service (Oracle On-Demand, multi-tenant SaaS app)
•Or … - Oracle BI Cloud Service
‣OBIEE 11g built for the cloud
‣Part of Oracle Public Cloud, comes with
Oracle Cloud DB
‣Thin-client data modeller
‣Tools for managing users, roles etc
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
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7. Oracle Cloud Business Intelligence
•Generally Available (GA) September 2014
•Part of the wider PaaS (platform-as-a-service)
offering including database, Java, documents etc
•Aimed at a very specific set of use-cases initially
‣Adding BI and analytics to cloud-based apps
‣Departmental sandbox-type analysis
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9. Oracle BI Cloud Service v1 Functionality
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10. Oracle Cloud Business Intelligence - How it Works
•Runs in Oracle’s public cloud environment (http://cloud.oracle.com)
•No upfront license cost
‣Pay monthly as OpEx
•Uses new thin-client RPD modelling tool
•Only reports against a single Oracle database
schema (Oracle Cloud Schema-as-a-Service)
•“Standard” OBIEE - but will possibly preview new
functionality before on-premise versions
•Patched automatically by Oracle
‣Customer able to be max one version behind?
•Comes with two instances - pre-prod and prod
‣Code promotion through BI Archive export/import
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Oracle Schema-as-a-service
Cloud
Oracle BI-as-a-Service Database (single source)
Admin access On-Premise
over HTTP
11. Oracle BI Cloud Services v.1
Logging into BICS, Accessing Services
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12. Logging In and Providing Identity Domain
•Login separate to oracle.com login; provided during Cloud service provisioning process
•Identity Domain is the tenant ID; all users of same service use same domain ID
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13. Oracle Cloud : My Services Dashboard
•Oracle BICS bundle includes Oracle Database Cloud Service (Schema-as-a-Service)
•Provides data store for OBIEE data, with ApEX front-end and data upload
•View status of services
•Click on link to launch required service
‣Database
‣Business Intelligence
Click to launch
BICS Service Dashboard
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14. Oracle Business Intelligence Cloud Service : Dashboard
•View basic metrics on system usage
(users, author count over period)
•Subscription details; Company name etc
‣Click on Service Instance URL
to launch OBIEE Presentation Services
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Click to launch
OBIEE Home Page
15. Oracle BI Cloud Services v.1
Accessing BI Dashboards & Analyses
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
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16. BI Cloud Service Home Page and Dashboards
•Answers and Dashboards (with new Oracle Cloud look-and-feel)
•But with tools to upload data, build the RPD, administer users, manage system
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
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17. Creating Analyses and Dashboards
•Standard UI for creating analyses, dashboards etc (but limited to subset of features now)
•Each tenant has a single RPD, all users report against that (but can add security etc)
•Helpers when user first connects to guide through key features
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18. Standard Dashboard and Analysis Editor Experience
•Regular Presentation Services interface - Dashboard, Analysis Editor, Catalog view etc
•Uses new “Skyros” theme from Fusion Apps
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19. Dashboard and Analysis Limitations in v1
•Can create analyses, dashboards, use filters, selection steps, calculations etc
•Can create dashboard prompts, filters, use repository and session variables etc
•No access to Agents, Scorecards, BI Publisher (anything that uses NQ_ tables)
•No Essbase, SOA / EBS integration etc
•No export of
catalog objects
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20. Oracle BI Cloud Services v.1
Uploading data to Database Cloud Service
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21. Oracle Database Cloud Service
•Each instance of BICS comes with Oracle Database Cloud Service (Schema-as-a-Service)
•ApEx environment with 10GB storage attached
•Able to run PL/SQL packages (with 5m timeout)
•Either create tables, views etc from ApEX,
or use data uploader in BICS
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Click to launch
ApEX Home Page
22. ApEx Development Environment
•Full ApEx environment for application building, table creation, SQL queries
•Can be used to build supporting applications, administration screens for OBIEE application
•Make use of PL/SQL functionality
‣Data cleansing
‣Call Web Service REST APIs
‣More complex processing
and calculations
•DB Cloud Service dashboard has tools
for data and application exports
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23. Options for Uploading Data to BI Cloud Service (DB Cloud)
•Use ApEx front-end and tools within it (data upload, data modeller etc)
•Use SQL*Developer and SFTP data upload facility
•Use BI Cloud Service Data Uploader
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24. SQL*Developer for Database Cloud Access / Upload
•SQL*Developer 4+ can view, query and upload data to Database Cloud
•Uses DB Cloud REST API to access database
•Create “carts” of data to upload
•Uses SFTP to bulk-upload
data imports to cloud
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25. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
E : [email protected]
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Data Uploader in ApEx
•Upload spreadsheet, XML data, text (delimited or fixed width)
•Store as a table in Database Cloud Service
•Create keys, joins, views etc
26. BI Cloud Services Data Uploader
•Custom ApEx application shipped with DB Cloud Service for BICS
•Upload CSV, text, xls and xlsx files to Database Cloud
•Paste data from clipboard and upload
•Limited data re-formatting features
•Preferred method for uploading data
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
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Click to launch
Data Uploader
27. BICS Data Uploader Step 1 : Select File to Upload
•Press Upload to upload txt, csv, xlsx or xls file to application
•Contents of file then appear in
Preview window
•Or just paste data from clipboard
into same preview window
•Option to ignore headers line
•Option to select delimiter char
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28. BICS Data Uploader Step 2 : Select Target or New Table
•Either select existing table to upload to, or enter details for new table
•Incoming columns in file mapped to table columns
•Ability to change column case, strip spaces, format as number
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29. BICS Data Uploader Step 3 : Preview Content, and Upload
•Preview file contents with transformations and final column names
•Upload file to Database Cloud Service - is the used to load a regular DB table
•Review table and check for loading errors
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30. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
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E : [email protected]
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Oracle BI Cloud Services v.1
Creating the repository
31. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
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Thin-Client Data Modeller
•New thin-client data modeller, works with RPD online
•Single repository per tenant
•Regular RPD, but modeller only supports
subset of BI Administration features
•Single LTS per logical table
•No Alias, have to create DB views
•Single business model
•Only logical calculations
Click to launch
Data Modeller
•But otherwise - an RPD
32. Data Modeller Repository Creation Workflow
1. Add tables to Database Cloud Service via data uploader
2. Lock Model (RPD)
3. Add joins if not automatically introspected
4. Select either a dimension or fact to create
5. Select table to base fact or dimension on
6. Format logical column names, values
7. Add calculations, aggregations
8. Add hierarchies
9. Publish model and unlock
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33. Logical Fact Table Features
•Joins to dimensions automatically introspected when tables selected for model
•Add default aggregation for logical columns
•Define logical calculations
(post-aggregation calcs only)
•Add data filters against
application roles
•Set access permissions for
application roles
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34. Logical Dimension Table Features
•Alter and rename default logical column names
•Add new logical columns using logical SQL expressions
•Add one or more level-based hierarchies
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35. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
E : [email protected]
W : www.rittmanmead.com
Variables
•Can create static and dynamic repository variables
•Also create session variables, including access to system session variables
‣Access to :USER etc system session variables
36. Oracle BI Cloud Services v.1
Administration and Maintenance
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37. Manage Users and Application Roles
•Click on Manage link on Homepage, launches BICS Service Console
•View users, assign to roles
•Map roles to application roles defined by tenant administrator
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Click to launch
BICS Service Console
38. T : +44 (0) 1273 911 268 (UK) or (888) 631-1410 (USA) or
+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
E : [email protected]
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Snapshots (BI Archives)
•Entire system (RPD, catalog) can be snapshotted with versions stored online
•Download and upload snapshots
‣Test to production migration
‣Restore snapshots for versioning
•Note - overwrites entire RPD, catalog
‣Does not include DB Cloud elements,
need to be archived separately
39. Oracle BI Cloud Services v.1
Example Application : Cloud CRM Reporting
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40. Example Application #1 : Cloud CRM Reporting - Scenario
•Many customers use SaaS applications for CRM, sales automation, talent management etc
•Often silos of information, and hard to report against
‣Access via REST APIs rather than SQL / ETL
•BI Tools needed, but prefer if SaaS deployed too
•Solution : Oracle BI Cloud Services,
but how to access SaaS data sources?
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41. SaaS Data Access Solution : DB Cloud PL/SQL REST Access
•Database Cloud Service supports PL/SQL packages, procedures
•ApEx has APEX_WEB_SERVICE API, supports RESTful and SOAP web service calls
•Salesforce.com provides REST API for retrieving objects, data
‣PL/SQL package retrieves
Salesforce instance data
‣Stages into Database Cloud
Schema for OBIEE access
•Need to work around
5 min timeout for PL/SQL prods
‣DB Cloud limitation
‣Break retrieval into
small steps, <1 min
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BEGIN
apex_web_service.g_request_headers(1).name := 'Accept';
apex_web_service.g_request_headers(1).value := 'application/xml';
l_clob :=
apex_web_service.make_rest_request( p_url =>
'https://login.salesforce.com/services/oauth2/token?grant_type=password&client_id='
||clientId||'&client_secret='||clientSecret||'&username='||username||
'&password='||password, p_http_method => 'POST' , p_body => '');
XMLData := XMLType(l_clob);
FOR r IN
(
SELECT
ExtractValue(Value(p),'/OAuth/instance_url/text()') AS r_instance ,
ExtractValue(Value(p),'/OAuth/access_token/text()') AS r_token
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FROM
TABLE(XMLSequence(Extract(XMLData,'/OAuth'))) p
)
LOOP
42. Build Repository Against Database Tables
•PL/SQL Package calling Salesforce.com REST API populates Oracle tables
•Oracle Tables then mapped into BI repository
•Facts and dimensions created
•Variables defined
•Users added into roles
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
E : [email protected]
W : www.rittmanmead.com
43. Supporting SaaS Security Models
•Full import of SaaS dataset presents the problem - how do we then respect app security?
‣Users will connect into OBIEE as themselves, no online access to SaaS security
•Solution : download user > account security objects,
join those to facts to perform row-level filtering
‣Needs knowledge of underlying
SaaS row-level security setup
‣Join security access table to model
to apply data restrictions
‣But then allows BICS app to work
disconnected from SaaS application,
but still apply correct security rules
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E : [email protected]
W : www.rittmanmead.com
44. Example Dashboard using Salesforce.com Dataset
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New graph type:
Example of visualisation
appearing first on BICS
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
E : [email protected]
W : www.rittmanmead.com
Thank You for Attending!
•Thank you for attending this presentation, and more information can be found at http://
www.rittmanmead.com
•Contact us at [email protected] or [email protected]
•Look out for our book, “Oracle Business Intelligence Developers Guide” out now!
•Follow-us on Twitter (@rittmanmead) or Facebook (facebook.com/rittmanmead)
46. Deploying OBIEE in the Cloud:
Options and Deployment Scenarios
Mark Rittman, CTO, Rittman Mead
BIWA Summit 2014, San Francisco, Jan 2014
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+61 3 9596 7186 (Australia & New Zealand) or +91 997 256 7970 (India)
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