Learn how can you create Tableau dashboards for OBIEE data that provide you valuable insight from business critical data without wasting a ton of time.
Enabling Self Service BI for OBIEE using TableauBI Connector
Business users are frustrated with the pace and schedule at which their requirements are fulfilled in OBIEE environments. IT, on the other hand, is unable to keep pace with fast changing BI requirements leading to ever growing backlog of requests.
Both Business Users and IT are looking for Self-Service capabilities where business users can model and visualize their transient BI requirements while IT can focus on the core, stable BI requirements.
Business users love Tableau's self-service capabilities. But, can you combine Tableau with OBIEE to empower business users with Self-Service BI?
This document compares Tableau and OBIEE business intelligence tools. It provides an overview of the presenter's experience and outlines the session agenda. The presenter will discuss the key benefits of each tool, compare them side by side, and explain when each is best to use. The objectives are to understand the value of Tableau and OBIEE and when each should be used. The presentation will not provide an in-depth discussion of individual case issues.
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.
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.
This document discusses extending Splunk data access through ODBC connectivity with Tableau. It provides an overview of Tableau software for visualizing and exploring data, and how Tableau can now connect to Splunk data sources through ODBC. The presentation demonstrates how Splunk data can be analyzed in Tableau dashboards and visualizations, highlighting use cases across different teams at Tableau including security, operations, development, marketing and executives.
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.
Frances Jones: "Tableau vs PowerBI"
THE SHOWDOWN! Two of the leading tools for data visualization come head-to-head in this presentation from Frances Jones. Frances is a leading expert and master in displaying quantitative information and has had many years of expertise using both of these tools to wow her clients. Come to hear her perspective on the strengths and weaknesses of both tools, as well as plenty of handy tips that will help you improve your viz skills.
About the Speaker:
Frances is a vivacious lover of data.
Big data consultant by day, data communicator & human behavioral enthusiast by night! She has had many years of experience across many visualization tools and platforms and is constantly pushing the boundaries on what is possible in this space.
This session will show some useful data visualisation tips and how they can be used in Oracle Business Intelligence and Data Visualization Cloud Services
DAX and Power BI Training - 001 OverviewWill Harvey
Course & Power BI Overview: This is the first session in a course that primarily focuses on DAX and PowerPivot, but also teaches the surrounding tools such as Power Query, Power BI Desktop and PowerBI.com.
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.
When choosing a BI Analytics platform, it's important to understand your company's needs. For analyzing large datasets, Tableau is the best option. Start-ups may want to use Power BI due to the low price of $9.99 per user/month. Find out which BI tool is best for your company.
This document summarizes a presentation about SAP BusinessObjects 4.0 given by Andreas Forster. The presentation covers the value propositions of SAP BusinessObjects 4.0 including being easy to use, optimized for performance, and enabling real-time analytics. It describes the new components and features of BusinessObjects 4.0 such as in-memory computing, mobile BI, and data quality tools. It demonstrates the software through a live demo and concludes by emphasizing the unified platform and user experience provided by SAP BusinessObjects 4.0.
Enabling Self Service Business Intelligenceusing ExcelAlan Koo
This document discusses enabling self-service business intelligence using Excel. It introduces Power BI tools for Excel like Power Query for discovering and combining data from various sources. Power Pivot is for modeling and analyzing data in Excel using DAX. Power View and Power Map enable interactive visualizations. The presentation provides demonstrations of using these tools to clean, model and visualize sample sales data to gain insights. It highlights how Excel users can leverage familiar tools for self-service BI.
Designing dashboards for performance shridhar wip 040613Mrunal Shridhar
Session from EUTCC13 London on Designing Dashboards for Performance. The session provides tips, tricks, and skills on how to improve performance of your visual analysis.
Two of the tech industry’s essential front runners providing business intelligence solutions are Microsoft’s Power BI and Tableau. These leaders of data visualization help businesses narrow down and analyze their data with powerful built-in tools and clear visualizations. Each platform has distinctive strengths and weaknesses that should be considered before deciding on a business intelligence software.
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Self-Service Business Intelligence in ExcelInnoTech
This document provides an overview of Theresa Eller's background and an agenda for a presentation on Excel tools. Theresa is a Business Systems Analyst at MD Anderson Cancer Center, holds Microsoft Office Specialist certification in SharePoint 2013, and is President of the Houston SharePoint User Group. The agenda covers Excel tools like Power Query, Power View, PowerPivot, and changes and enhancements in Excel 2016, including the removal of the Power View tab.
Tableau - Learning Objectives for Data, Graphs, Filters, Dashboards and Advan...Srinath Reddy
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
High impact data visualization with power view, power map, and power biHoàng Việt
This document provides an overview of Microsoft's self-service business intelligence solution, which consists of the Excel BI Toolkit and Power BI. The Excel BI Toolkit allows users to import and model data using Power Query, store and calculate data using PowerPivot, and create visualizations using Power View and Power Map. Power BI then enables users to share their analyses and insights on various devices via the cloud. The document outlines the key capabilities of each tool and how they work together to empower users to discover, prepare, analyze and present data without extensive IT support.
BI : SharePoint 2016 BI or PowerBI v2 ? (O365 Saturday Copenhagen, 2016)serge luca
Business Intelligence : shpuld we go for SharePoint 2016 BI or to PowerBI v2 ? O365 Saturday Copenhagen 2016 - By Serge Luca, SharePoint MVP and Isabelle an Campenhoudt, SQL Server MVP
This document provides an overview of Power BI and its capabilities. It defines Power BI as a self-service business intelligence tool comprising Excel, Power Query, Power Pivot, Power View, Power Map, and Power BI Desktop for data preparation, analysis, and visualization. It outlines how these tools integrate to allow users to clean, model, and analyze data before publishing interactive reports and dashboards to the Power BI service for sharing and consumption on the web and mobile devices. The document also highlights new features like quick insights, integration with other Microsoft products, and resources for learning more.
Power BI vs Tableau: Which is Better Business ToolStat Analytica
Still Struggling between the Power BI and Tableau? Here is the in-depth difference between Power BI vs Tableau. With the help of this PDF you will be quite confident to choose the better one as per your requirements.
1. Power BI Embedded is an Azure cloud service that allows developers to embed Power BI reports in their custom applications.
2. Developers can connect to data sources, create reports and datasets, embed reports, and manage access using Power BI APIs.
3. The demonstration shows how to provision a workspace collection, embed an interactive report in an application, and handle authentication and permissions for end users.
Incredible ODI tips to work with Hyperion tools that you ever wanted to knowRodrigo Radtke de Souza
ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside-the-box ideas.
* Did you ever want to dynamically run any number of “OS” commands using a single ODI component?
* Did you ever want to have only one data store and loop different sources without the need of different ODI contexts?
* Did you ever want to have only one interface and loop any number of ODI objects with a lot of control?
* Did you ever need to have a “third command tab” in your procedures or KMs to improve ODI powers?
* Do you still use an old version of ODI and miss a way to know the values of the variables in a scenario execution?
* Did you know ODI has four “substitution tags”? And do you know how useful they are?
* Do you use “dynamic variables” and know how powerful they can be?
* Do you know how to have control over you ODI priority jobs automatically (stop, start, and restart scenarios)?
This session will show some useful data visualisation tips and how they can be used in Oracle Business Intelligence and Data Visualization Cloud Services
DAX and Power BI Training - 001 OverviewWill Harvey
Course & Power BI Overview: This is the first session in a course that primarily focuses on DAX and PowerPivot, but also teaches the surrounding tools such as Power Query, Power BI Desktop and PowerBI.com.
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.
When choosing a BI Analytics platform, it's important to understand your company's needs. For analyzing large datasets, Tableau is the best option. Start-ups may want to use Power BI due to the low price of $9.99 per user/month. Find out which BI tool is best for your company.
This document summarizes a presentation about SAP BusinessObjects 4.0 given by Andreas Forster. The presentation covers the value propositions of SAP BusinessObjects 4.0 including being easy to use, optimized for performance, and enabling real-time analytics. It describes the new components and features of BusinessObjects 4.0 such as in-memory computing, mobile BI, and data quality tools. It demonstrates the software through a live demo and concludes by emphasizing the unified platform and user experience provided by SAP BusinessObjects 4.0.
Enabling Self Service Business Intelligenceusing ExcelAlan Koo
This document discusses enabling self-service business intelligence using Excel. It introduces Power BI tools for Excel like Power Query for discovering and combining data from various sources. Power Pivot is for modeling and analyzing data in Excel using DAX. Power View and Power Map enable interactive visualizations. The presentation provides demonstrations of using these tools to clean, model and visualize sample sales data to gain insights. It highlights how Excel users can leverage familiar tools for self-service BI.
Designing dashboards for performance shridhar wip 040613Mrunal Shridhar
Session from EUTCC13 London on Designing Dashboards for Performance. The session provides tips, tricks, and skills on how to improve performance of your visual analysis.
Two of the tech industry’s essential front runners providing business intelligence solutions are Microsoft’s Power BI and Tableau. These leaders of data visualization help businesses narrow down and analyze their data with powerful built-in tools and clear visualizations. Each platform has distinctive strengths and weaknesses that should be considered before deciding on a business intelligence software.
Data Visualization Trends - Next Steps for TableauArunima Gupta
Want answers to:
- What is data visualization?
- Why is it deemed disruptive in the field of analytics?
- What is Tableau?
Come view the slide deck!
Concludes with:
- Digital strategy recommendations for Tableau to become the winner in a winner-take-all-market
Self-Service Business Intelligence in ExcelInnoTech
This document provides an overview of Theresa Eller's background and an agenda for a presentation on Excel tools. Theresa is a Business Systems Analyst at MD Anderson Cancer Center, holds Microsoft Office Specialist certification in SharePoint 2013, and is President of the Houston SharePoint User Group. The agenda covers Excel tools like Power Query, Power View, PowerPivot, and changes and enhancements in Excel 2016, including the removal of the Power View tab.
Tableau - Learning Objectives for Data, Graphs, Filters, Dashboards and Advan...Srinath Reddy
Step-1 Tableau Introduction
Step-2 Connecting to Data
Step-3 Building basic views
Step-4 Data manipulations and Calculated fields
Step-5 Tableau Dashboards
Step-6 Advanced Data Options
Step-7 Advanced graph Options
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
High impact data visualization with power view, power map, and power biHoàng Việt
This document provides an overview of Microsoft's self-service business intelligence solution, which consists of the Excel BI Toolkit and Power BI. The Excel BI Toolkit allows users to import and model data using Power Query, store and calculate data using PowerPivot, and create visualizations using Power View and Power Map. Power BI then enables users to share their analyses and insights on various devices via the cloud. The document outlines the key capabilities of each tool and how they work together to empower users to discover, prepare, analyze and present data without extensive IT support.
BI : SharePoint 2016 BI or PowerBI v2 ? (O365 Saturday Copenhagen, 2016)serge luca
Business Intelligence : shpuld we go for SharePoint 2016 BI or to PowerBI v2 ? O365 Saturday Copenhagen 2016 - By Serge Luca, SharePoint MVP and Isabelle an Campenhoudt, SQL Server MVP
This document provides an overview of Power BI and its capabilities. It defines Power BI as a self-service business intelligence tool comprising Excel, Power Query, Power Pivot, Power View, Power Map, and Power BI Desktop for data preparation, analysis, and visualization. It outlines how these tools integrate to allow users to clean, model, and analyze data before publishing interactive reports and dashboards to the Power BI service for sharing and consumption on the web and mobile devices. The document also highlights new features like quick insights, integration with other Microsoft products, and resources for learning more.
Power BI vs Tableau: Which is Better Business ToolStat Analytica
Still Struggling between the Power BI and Tableau? Here is the in-depth difference between Power BI vs Tableau. With the help of this PDF you will be quite confident to choose the better one as per your requirements.
1. Power BI Embedded is an Azure cloud service that allows developers to embed Power BI reports in their custom applications.
2. Developers can connect to data sources, create reports and datasets, embed reports, and manage access using Power BI APIs.
3. The demonstration shows how to provision a workspace collection, embed an interactive report in an application, and handle authentication and permissions for end users.
Incredible ODI tips to work with Hyperion tools that you ever wanted to knowRodrigo Radtke de Souza
ODI is an incredible and flexible development tool that goes beyond simple data integration. But most of its development power comes from outside-the-box ideas.
* Did you ever want to dynamically run any number of “OS” commands using a single ODI component?
* Did you ever want to have only one data store and loop different sources without the need of different ODI contexts?
* Did you ever want to have only one interface and loop any number of ODI objects with a lot of control?
* Did you ever need to have a “third command tab” in your procedures or KMs to improve ODI powers?
* Do you still use an old version of ODI and miss a way to know the values of the variables in a scenario execution?
* Did you know ODI has four “substitution tags”? And do you know how useful they are?
* Do you use “dynamic variables” and know how powerful they can be?
* Do you know how to have control over you ODI priority jobs automatically (stop, start, and restart scenarios)?
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.
This document provides instructions for creating an Oracle Data Integrator (ODI) project and interface to export data from one flat file to another flat file. It outlines the steps to create a new physical schema for the flat file model, a new ODI model for the flat file source, new ODI source and target datastores, and a new ODI interface to perform the flat file to flat file transformation. The interface can then be executed using the ODI Operator to verify the data export.
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.
Predictive analytics: Mining gold and creating valuable productBrendan Tierney
My presentation about building predictive analytics and machine learning solutions. Presented using a number of real world projects that I've worked on over the past couple of years
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.
How to Handle DEV&TEST&PROD for Oracle Data IntegratorGurcan Orhan
Most of us have development teams apart from test and operation teams using the different repository environments. And there are generally 3 different ODI installations and repositories which each of the teams use separately. Chaos is usually expected and happened who will test which development and what to deploy into production.
In this session hear how ODI can handle your development hierarchy with ease of usage and in simplified/synchronized way for successful deployments.
A simple project will be built up and will be enlarged to enterprise level step by step.
But how do I GET the data? Transparency Camp 2014Jeffrey Quigley
The document discusses data collection and management. It describes how Shooju is a web-based data platform that consolidates data sources, makes data searchable from one place, and seamlessly integrates with tools. It notes that most organizations spend more time cleaning and managing data than analyzing it. Common methods to collect data include APIs, scraping, and manual collection, each with advantages and disadvantages. Shooju provides cost savings, added data quality, and enables enhanced decision making by streamlining data workflows and automating processes.
This document provides an overview and introduction to advanced D3 charting techniques. It begins with explaining what D3 is and its capabilities for binding data to documents using HTML, SVG, and CSS. It then outlines the topics that will be covered, including making D3 code more reusable and clean, understanding the patterns behind D3, SVG conventions, scales, selections, data binding, and dividing charts into logical groupings/layers. Examples of D3 code for selections, data, and joins are also provided.
D3.js is a JavaScript library for manipulating documents based on data. It allows binding data to the DOM and applying data-driven transformations. The document discusses using D3.js to create force-directed graphs by binding data to SVG elements like paths, circles, and text. Key aspects covered include the D3 force layout to simulate physical forces on nodes, and SVG attributes to define paths, circles, text position and styling.
THE DATA DRIVEN WEB OF NOW: EXTENDING D3JS (Travis Smith)Future Insights
Data on the Web can be represented in a number of ways and is often represented in more than one way at once. Maintaining entire libraries of templates to support growing applications is become harder and harder as a result. In addition, the requirement that data be live is hampered by existing methodologies. We will work through using and extending D3js to expressively generate representations of data that can be updated live.
To generate and schedule a scenario in ODI 11g, you right-click the interface and select generate scenario, then schedule it with the ODI agent by setting the context, execution time, and logging level. You can then view the scheduled execution results in the ODI operator session list at the scheduled time.
oracle data integrator training | oracle data integrator training videos | or...Nancy Thomas
Website : http://www.todaycourses.com
Oracle Data Integrator 11g Course Content :
1.Introduction to Oracle Data Integrator
What is Oracle Data Integrator?
Why Oracle Data Integrator?
Overview of ODI 11g Architecture
Overview of ODI 11g Components
About Graphical Modules
Types of ODI Agents
Overview of Oracle Data Integrator Repositories
2. Administrating ODI Repositories and Agents
Administrating the ODI Repositories
Creating Repository Storage Spaces
Creating and Connecting to the Master Repository
Creating and Connecting to the Work Repository
Managing ODI Agents
Creating a Physical Agent
Launching a Listener, Scheduler and Web Agent
Example of Load Balancing
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Philly TUG - Best of Tableau Web Nov. 2015Joshua Tapley
This document contains links to various blog posts and articles about data visualization and Tableau. It discusses topics like improving chart designs, adding filters, generating high resolution images, creating box and whisker plots, color alternatives, responsive dashboards, histograms using levels of detail, setting parameter values using the JavaScript API, and more. Many of the links include visualizations and tutorials for creating different chart types and integrating additional functionality into Tableau.
The document provides an overview of Scalable Vector Graphics (SVG) and the D3.js library for manipulating SVG graphics. It discusses basic SVG shapes and paths that can be used to create visualizations like bar charts. It then demonstrates how to generate SVG elements like rectangles and circles using D3 selections and data binding. Transitions and interactive elements are also covered. Examples are provided to illustrate D3 concepts like entering new data, updating existing elements, and exiting stale elements from the DOM.
Best Practices for Users - Connecting Tableau to OBIEE with BI ConnectorBI Connector
BI Connector helps users to quickly connect from Tableau to OBIEE Subject Area and Reports and create powerful visualizations with ease. Users can get to analytics faster, take advantage of the joins and aggregations in OBIEE and avoid time consuming manual export/import.
This presentation provides an overview of the best practices for Super Users/IT Developers, Power Users (Report Developers) and Report Users.
Visit www.biconnector.com to learn more.
AnalytixLabs - Data Science 360 (Nasscom)-1648178720283 (1).pdfNamanGulati17
The document provides information about the Data Science 360 certification program offered by AnalytixLabs. It summarizes that the program focuses 80% on practical skills and industry best practices. It is led by experienced analytics professionals from top firms and includes high-quality course material, real-life case studies, and regular sessions with industry experts to help students become job-ready. Upon completion, students will receive a certificate and potential scholarship and job assistance.
Top 10 of Data & BI Summit Series: Power BI Tips & Tricks from the Trenches Rui Romano
This document provides an agenda and list of tips for a Power BI session. The agenda indicates that the session will provide a fast-paced set of demos on useful Power BI techniques rather than an introduction or deep-dive on any topic. The tips include optimizing data models, using filters before transformations, parameters for templates and dynamic queries, measures as dimensions, importing online datasets, and real-time options like streaming and REST APIs.
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User GroupRussell Spangler
This document discusses a Tableau user group meeting focused on transitioning from Excel to data visualization using Tableau. The meeting will feature presentations from two Tableau experts at Amazon on their experience using Tableau. The objectives of the meeting are explained, including comparing Excel and Tableau, overcoming data obstacles, design tips, and real world examples. Tips are provided on leveraging Tableau's capabilities, assessing existing Excel reports, starting out with Tableau, and achieving the goal of transitioning to Tableau.
This document discusses common mistakes made in Oracle Business Intelligence development. It is organized by categories including the three layers of the RPD, system/DevOps/security issues, multidimensional modeling failures, front-end usage mistakes, and analysis/dashboard errors. Specific examples provided include using incorrect data types, not creating dimensional hierarchies, manual security management instead of roles, treating cubes like relational sources, and using OBI as an Excel exporting or data entry tool. The document is intended to review worst practices to improve core OBI development skills.
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.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
Best Practices for IT - Integrating Tableau to OBIEE with BI ConnectorBI Connector
The document provides guidance on best practices for enterprise deployment of a BI Connector product. It discusses how the BI Connector works to enable self-service BI by allowing users to connect Tableau to OBIEE metadata and data. The document outlines roles for different types of users and the software requirements for each. It also provides an administrators guide, developer/super user guide, and best practices for scaling the user community.
No doubt Visualization of Data is a key component of our industry. The path data travels since it is created till it takes shape in a chart is sometimes obscure and overlooked as it tends to live in the engineering side (when volume is relevant), an area where Data Scientist tend to visit but not the usual Web/Marketing Data Analyst. Nowadays the options to tame all that journey and make the best of it are many and they don't require extensive engineering knowledge. Small or Big Data, let's see what "Store, Extract, Transform, Load, Visualize" is all about.
Designing high performance datawarehouseUday Kothari
Just when the world of “Data 1.0” showed some signs of maturing; the “Outside In” driven demands seem to have already initiated some the disruptive changes to the data landscape. Parallel growth in volume, velocity and variety of data coupled with incessant war on finding newer insights and value from data has posed a Big Question: Is Your Data Warehouse Relevant?
In short, the surrounding changes happening real time is the new “Data 2.0”. It is characterized by feeding the ever hungry minds with sharper insights whether it is related to regulation, finance, corporate action, risk management or purely aimed at improving operational efficiencies. The source in this new “Data 2.0” has to be commensurate to the outside in demands from customers, regulators, stakeholders and business users; and hence, you would need a high relformance (relevance + performance) data warehouse which will be relevant to your business eco-system and will have the power to scale exponentially.
We starts this webinar by giving the audiences a sneak preview of what happened in the Data 1.0 world & which characteristics are shaping the new Data 2.0 world. It then delves deep on the challenges that growing data volumes have posed to the Data warehouse teams. It also presents the audiences some of the practical and proven methodologies to address these performance challenges. Finally, in the end it will highlight some of the thought provoking ways to turbo charge your data warehouse related initiatives by leveraging some of the newer technologies like Hadoop. Overall, the webinar will educate audiences with building high performance and relevant data warehouses which is capable of meeting the newer demands while significantly driving down the total cost of ownership.
PUGML06 - Power BI Tips & Tricks from the TrenchesRui Romano
This document contains a summary of tips and tricks for working with Power BI. It discusses modeling best practices like denormalizing data and using meaningful names. It also provides tips for optimizing model size, filtering data early, using incremental loading, measures as dimensions, emoji support, dynamic security, calendar tables, parameters, barcode scanning, scaling PBIX files, rebinding reports, embedding, real-time data, governance, and more. The session aims to share many useful techniques through over 20 fast-paced demonstrations to help people work more efficiently in Power BI.
This document provides an overview of Visual Analytics Session 3. It discusses data joining and blending in Tableau. Specifically, it explains why joining or blending data is necessary when data comes from multiple sources. It then describes the different types of data joins in Tableau - inner joins, left joins, right joins, and outer joins. An example is provided to demonstrate an inner join using a primary key to connect related data between two tables. The goal is to understand how to connect different but related data sources in Tableau using common keys or variables.
7 tips and tricks for connecting power bi to obiee and oracle analytics cloudBI Connector
This document discusses connecting Power BI to Oracle Business Intelligence Enterprise Edition (OBIEE) and Oracle Analytics Cloud (OAC). It begins by outlining the key reasons for making this connection, such as allowing self-service visualizations and data blending in Power BI. It then describes some of the unique challenges in connecting these tools. The bulk of the document focuses on "7 Tips and Tricks" for implementing the connection successfully, with demonstrations. These tips include starting with reports, choosing the right connection type, using filters, and implementing data security in the cloud. Finally, the document reviews the business and IT benefits of connecting Power BI to OBIEE/OAC, such as reusing existing OBIEE assets and
Relational data modeling trends for transactional applicationsIke Ellis
This document provides a summary of Ike Ellis's presentation on data modeling priorities and design patterns for transactional applications. The presentation discusses how data modeling priorities have changed from focusing on writes and normalization to emphasizing reads, flexibility, and performance. It outlines several current design priorities including optimizing the schema for reads, making it easy to change and discoverable, and designing for the network instead of the disk. The presentation concludes with practicing modeling data for example transactional applications like a blog, online store, and refrigeration trucks.
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.
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
This document discusses optimizing Microsoft Access databases by using SQL Server as the backend database instead of the default Jet/ACE database engine. It provides advantages of using SQL Server like better performance, security, and scalability. It also discusses best practices like using SQL Server for data storage and queries, using Access only for the user interface, migrating Access data and queries to SQL Server, and designing the application for optimal performance when Access and SQL Server are used together.
Microsoft Power Stack 2019 [Power BI, Excel, Azure & Friends]Olivier Travers
Making sense of Microsoft's renewed push in the business intelligence sector with:
- Power BI including Power BI Report Server, Premium, Embedded, APIs...
- Excel
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[Latest update: mid-2019] I have put an inordinate amount of research time to keep this presentation up to date since its original publication in February 2017. The latest version is available upon request for a reasonable fee and for my consulting clients, don't hesitate to contact me to discuss your project.
Olivier Travers
[email protected]
Enterprise Data World 2018 - Building Cloud Self-Service Analytical SolutionDmitry Anoshin
This session will cover building the modern Data Warehouse by migration from the traditional DW platform into the cloud, using Amazon Redshift and Cloud ETL Matillion in order to provide Self-Service BI for the business audience. This topic will cover the technical migration path of DW with PL/SQL ETL to the Amazon Redshift via Matillion ETL, with a detailed comparison of modern ETL tools. Moreover, this talk will be focusing on working backward through the process, i.e. starting from the business audience and their needs that drive changes in the old DW. Finally, this talk will cover the idea of self-service BI, and the author will share a step-by-step plan for building an efficient self-service environment using modern BI platform Tableau.
This document outlines the agenda for a day 2 Power BI training. The training will cover connecting to and transforming data in Power BI, building a data model, adding calculations with DAX, visualizing data in reports, and publishing reports to the Power BI portal. The morning sessions will focus on connecting to data, shaping it with queries, and creating a data model. The afternoon will include adding calculations, visualizing data in reports, and publishing a report to the Power BI portal and creating a dashboard. The goal is for attendees to learn how to use Power BI Desktop to connect to, model, and visualize data to gain insights.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
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Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
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Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
2. Connecting from Tableau to OBIEE
OBIEE as a data source – What are the challenges?
Demo - 7 Best Practices to follow
Sneak Preview – Connecting from Tableau to OBIEE Reports
Key Concepts
3. Connecting from Tableau to OBIEE –The Challenge
Business has invested years and
millions into building out the
OBIEE RPD, security, and reports
4. Business Users love Tableau
Data
Discovery
Visualization Mash-ups Speed of
Change
Quick to
Learn
✓ ✓ ✓ ✓ ✓
Tableau delivers the missing
self-service capabilities in
OBIEE, but unable to reuse
OBIEE metadata and
security model
5. Challenges with CSV/Staging
Area/Database Access
• Manual, Laborious, Inefficient
• Costly to maintain
• Data duplication
• Security issues
• Information inconsistency between
OBIEE results and Tableau results
Tableau Users Struggle to Connect to OBIEE
Native ODBC Driver
doesn’t work
• Connectivity issues
• Requires extensive changes
in OBIEE
• Primary keys not possible for
some tables
6. BI Connector Connects Tableau to OBIEE
Seamless
User
Experience
Secured by OBIEE
security model
No Changes to OBIEE,
Reuse OBIEE business
logic Cost and Time
savings
Easy Installation
Quick visualization
Mash-ups
Information Consistency
Best of
Tableau +
OBIEE
OBIEE TABLEAU
7. OBIEE as a Data Source – Unique Challenges
OBIEE TABLEAU
OBIEE is unlike other data
sources
• Data Volume
• Meta data
• Complex schema
• Joins in OBIEE
• Security model
8. The 7 Best Practices to Follow
Know your
OBIEE data
model
Follow KISS
Principle
Stay within
Star Schema
Don’t
touch that
Update
Now!
Uncheck the
Auto-Update
Worksheet
Use Filters
First
Worksheet,
then Extract
9. 1. Important to know the OBIEE
data model and OBIEE itself
2. Follow this failsafe approach
until you are comfortable
1. Keep Tableau and OBIEE side
by side
2. View the report in OBIEE
3. Identify Subject Area, Folders
and Columns in OBIEE
4. Connect to the same OBIEE
environment from Tableau
5. Create visualization in Tableau
6. Verify the results with OBIEE
Know Your OBIEE
10. OBIEE data models are
complex, so start simple
Start with a small model
• Fact + 2 Dimension
including Time
Tableau doesn’t support
Hierarchy, be aware.
Gain experience with simple
data models, then
experiment with complex
visualizations
Follow KISS Principle
11. Watch out for subject
areas with multiple star
schemas
OBIEE doesn’t like join
across star schemas
Select Tables only from a
single star schema
Stay within Star Schema
Subject Area
Fact 1 Fact 2
Dim 1
Dim 2
Dim 3 Dim 4 Dim 5 Dim 6
Dim 7
Dim 8
12. Update Now is expensive
• Select * from Table query
Hide unused columns
Use filters
Unexpected Error ?
• Reasons:
Underlying OBIEE RPD
column errors
• Missing physical mapping
Join of Tables from different
Star Schemas
Don’t Click That Update Now!
13. Each drag and drop into
worksheet could be a
separate OBIEE query
Expensive
In worksheet, disable Auto-
Update Worksheet
Drag and drop dimensions
and measures
Update worksheet to get data
Faster time to report
Un-check the Auto-Update Worksheet
14. Millions of rows in OBIEE Fact
tables Performance issue
Use Filters to query only the
required data
Faster queries
Shorter report creation time
Use Filters
15. Visualize in Tableau Worksheet
before extracting OBIEE data
• Visualization verifies that the data
is correct
Verify in OBIEE if needed
• Extract only required columns
Use Hide Unused Column
feature
Eliminates OBIEE RPD errors in
unused columns
• Apply Filters to extract required
data
First Worksheet, Then Extract
17. Benefits of 7 Best Practices
• Access OBIEE data in live or extract methods
• Access via browser or Tableau Desktop
• Visualize, mash-up, publish, consume
• Create “Governed” OBIEE data source for
Tableau
• No changes in OBIEE, No coding required
• Alleviate OBIEE performance issues using
Tableau/BI Connector
• Connect to OBIEE 10g, 11g, 12c
Business Users IT