ODI ST Partnership

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  • Today’s organizations are looking at multiple paradigms for agility either separately or together. In each case, there is a common element among them. Data Integration. Data Integration provides the important aspects for moving data and turning it into re-usable information – it acts as a key enabler for each architecture principle (SOA, BI, or Data Warehousing) and can also act as a key bridge between them. SOA and DI Focus example: For example, lets say I want to implement a process in my Service Oriented Architecture that accesses large amounts of data. Unfortunately that data is part of a data warehouse, to ensure that I only get the updated information that is constantly being synchronized, I’ll need to leverage capabilities in Data Integration and make a call to it from the service in my SOA. If it isn’t connected easily the architects don’t know how to get to it. It also needs to be optimized for performance, the same way that it is from it being managed by my data warehouse.
  • XD addresses this issue… it add the brawn to our existing solution.
  • Fusion components: ODI, BPEL, Metadata, Registry, Hierarchy, Audit, DQ, Identity Mgt, rules Import workbench, web services, BI maps - Industries
  • Classic ETL is Comprised of the Following Use Cases Enterprise Data Warehouse – multi-terabyte appliances etc. Business Intelligence – cubes, n-dimensional schema etc. Operational Data Stores – 3NF schema, transactional DBMS Example Oracle Wins with ODI Raiffeisen (IBM replacement) EMC (OBI-EE attach) MetroGroup (IBM replacement) More: France Telecom, S3 Retail, Banca UCB, ENI, BNL, BT… Why ODI Wins in the Classic ETL Market Performance – ODI rapidly demonstrates gains vs. INFA, IBM etc. Simplicity – ODI provides a simple way to manage high-end systems Fusion Alignment – ODI is an “on-ramp” to the Fusion architecture New Style ETL is Comprised of the Following Use Cases SOA : BPEL/ESB – inline ETL for handling large payloads Events : BAM/CEP – integrated CDC for monitoring DB activities Unified Integration – everything at once, single point of control/mgmt Example Oracle Wins with ODI Ross (Unified SOA) Amway (Unified SOA) Arrow Electronics (SOA) More: GM, GT, Telestra, Vivodi Telecom, Oversea Chinese Banking Corp Why ODI Wins in the New Style ETL Market Performance – ODI greatly improves SOA responsiveness Architectural Superiority – embeddable, lightweight, shared runtime… Fusion Middleware Roadmap – one way to do Process, Message and Data Integration with shared Design-time and shared Run-time Where do data integration techniques and technologies add the most value in the broader context of information management? Data integration is no longer only about acquisition and delivery of data for business intelligence. While BI remains a significant driver for data integration investment and activity, numerous other use cases have emerged and are growing with considerable speed. MDM initiatives require significant data integration infrastructure and are now widespread. Migration of legacy database to modern platforms and consolidation of application databases (for example in M&A execution) also drive demand for data integration. Increasingly, synchronization of data between operational applications (for example in supply chain optimization initiatives) is considered a data integration problem, not only an application integration or messaging one. And achieving a single view of customer, product or any other significant business entity, which can also drive operational efficiency and quality improvements, requires aggregating and integrating data from multiple sources. As demand toward all of these scenarios grows, organizations will increasingly look to make data integration capabilities a key part of their SOA work and seek to leverage data integration techniques to unify data types across the breadth of the content continuum. WHAT ODI CAN PROVIDE: Data Warehousing and Business Intelligence executing high-volume, high-performance loading of data warehouses, data marts, OLAP cubes and analytical applications Service-Oriented Architecture calling on external services for data integration deploying data services and transformation services that can be seamlessly integrated within an SOA infrastructure adds support for high-volume, high-performance bulk data processing to an existing service oriented architecture Master Data Management (MDM) providing a comprehensive data synchronization infrastructure for customers who build their own data hubs Migration providing efficient bulk load of historical data from existing systems to new ones
  • The Empirix family of products – now called the Application Test Suite (or ATS) comprises three main solutions: the first two tools to automate the actual testing: One for Functional testing – which is exercising the various features of an application as a single user to ensure that everything works The other is for Load testing (also know as performance testing) – which allows customers to drive large amounts of traffic against their applications to ensure they can scale to expected levels. The third solution is Test Process Management – which as the name suggests, allows customers to manage their entire QA process, includes things like: Definition of requirements Developing test cases Tracking defects, etc. These solutions can be sold individually or as a suite – depending on the customer’s need. But they now all fall under the Enterprise Manager Brand – within the SAM bundle, and I’ll describe what that is in a second. One important point to note, though, is that ATS is currently focused on WEB Applications and Web derivatives (such as web services, SOA, AJAX, etc). So from a selling standpoint the immediate sweet spot for you are Oracle customers running or deploying web-based applications (such as Siebel or Peoplesoft) or customer with websites powered by Oracle middleware or databases. For Web-based applications ATS is the best solution on the market – in terms of ease-of-use and feature set and the accuracy of the test conducted. Feel free to contact me offline to learn more about these differentiated capabilities. There is a bunch of stuff on the Enterprise Manager website as well. The roadmap calls for supporting the non-web applications such as EBS - product management will be providing these details and timelines shortly.
  • Script: J. Crew embarked on a Data Integration initiative that was designed to better integrate cataloging information for their online systems as well as their over 200 retail outlets. The importance of consistent data in both sides of the business was of prime importance: To do this they needed to 1) define a corporate standard for how they managed data integration, and 2) figure out how to replace all of their legacy, antiquated systems as well as support the existing more modern ERP, CRM and other packaged applications. The solution: Oracle Data Integrator How they benefited? Simplified the end-to-end data integration with all their core IT systems and database platforms to reduce the total cost of ownership of their order replenishment and cataloging Benefited from the Oracle advantage in batch processing, bulk data transformation for increased performance Was able to successfully leverage SAP and Teradata integration to phase out legacy systems and ultimately reduce costs Takeaway: This example is especially common where the need to integrate data across complex IT systems, multiple divisions. Simplifying how they integrated data wasn’t as simple as simply moving all the data to a single format. It is more complex than that and they needed a tool to manage how data was integrated.
  • Script: J. Crew embarked on a Data Integration initiative that was designed to better integrate cataloging information for their online systems as well as their over 200 retail outlets. The importance of consistent data in both sides of the business was of prime importance: To do this they needed to 1) define a corporate standard for how they managed data integration, and 2) figure out how to replace all of their legacy, antiquated systems as well as support the existing more modern ERP, CRM and other packaged applications. The solution: Oracle Data Integrator How they benefited? Simplified the end-to-end data integration with all their core IT systems and database platforms to reduce the total cost of ownership of their order replenishment and cataloging Benefited from the Oracle advantage in batch processing, bulk data transformation for increased performance Was able to successfully leverage SAP and Teradata integration to phase out legacy systems and ultimately reduce costs Takeaway: This example is especially common where the need to integrate data across complex IT systems, multiple divisions. Simplifying how they integrated data wasn’t as simple as simply moving all the data to a single format. It is more complex than that and they needed a tool to manage how data was integrated.
  • Script: New Reinsurance Company, is a division of Munich Re Group, one of the largest insurers of Re-insurance claims in Europe. For this type of financial use case, the challenges would be similar to many other insurance and Financial Services industries where they need to bring new products to market quickly, and also deal with a IT Modernization, and cut costs at the same time. With New Re, many of the applications were also homegrown which makes it much harder to simply integrate out of the box. The challenges that New Re faced included: Needed quality of data but uncompromising on the cost to meet that objective. Data interactions between multiple complex systems, including both SAP and homegrown insurance applications Hard to modify and maintain manually-developed data transfer programs. Data transfers as part of reinsurance, risk transactions When built on Oracle Technology: Seamlessly integrated across (Oracle, SAP, IBM, etc) to manage the regeneration of all code, scripts, and metadata across the different environments. Lowered the cost of development by taking advantage of ODI’s declarative model, ease of use, and team collaboration capabilities. NRC benefited from the flexibility and standards based approach of ODI, helped leverage the existing environment. Takeaway: Oracle doesn’t help integrate data across Oracle Apps, it also supports SAP and IBM applications. By settling on a single platform New Reinsurance was able to
  • Script: Ross is a great example to close on the earlier retail example we saw previously. Ross had the business challenge of trying to reconcile inventory information across their multiple retail chains which included more than simply the Ross brand and included other acquisitions they had made. Their challenge (both Business and IT) Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains Lack of visibility to errors to the business Higher cost and time to delivery of new value Current state was complex, didn’t scale, and difficult to manage Non-standard approach required coding paradigm, inconsistent error handling With Oracle SOA Suite and ODI together: Seamless data integration from heterogeneous sources leveraging SOA helped to create a more flexible, standards based integration approach 73% Bulk data transfer performance improvement Together with Oracle SOA Suite (Oracle BPEL PM) provided business optimization, process visibility, exception handling Closed loop processing using BAM and Data Integration combined eliminated ordering/replenishing inventory errors by reducing inaccurate data Takeaway: We can learn from companies like Ross that use techniques of SOA together with Data Integration to capitalize on this new-found agility.
  • Script: Ross is a great example to close on the earlier retail example we saw previously. Ross had the business challenge of trying to reconcile inventory information across their multiple retail chains which included more than simply the Ross brand and included other acquisitions they had made. Their challenge (both Business and IT) Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains Lack of visibility to errors to the business Higher cost and time to delivery of new value Current state was complex, didn’t scale, and difficult to manage Non-standard approach required coding paradigm, inconsistent error handling With Oracle SOA Suite and ODI together: Seamless data integration from heterogeneous sources leveraging SOA helped to create a more flexible, standards based integration approach 73% Bulk data transfer performance improvement Together with Oracle SOA Suite (Oracle BPEL PM) provided business optimization, process visibility, exception handling Closed loop processing using BAM and Data Integration combined eliminated ordering/replenishing inventory errors by reducing inaccurate data Takeaway: We can learn from companies like Ross that use techniques of SOA together with Data Integration to capitalize on this new-found agility.
  • Script: Ross is a great example to close on the earlier retail example we saw previously. Ross had the business challenge of trying to reconcile inventory information across their multiple retail chains which included more than simply the Ross brand and included other acquisitions they had made. Their challenge (both Business and IT) Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains Lack of visibility to errors to the business Higher cost and time to delivery of new value Current state was complex, didn’t scale, and difficult to manage Non-standard approach required coding paradigm, inconsistent error handling With Oracle SOA Suite and ODI together: Seamless data integration from heterogeneous sources leveraging SOA helped to create a more flexible, standards based integration approach 73% Bulk data transfer performance improvement Together with Oracle SOA Suite (Oracle BPEL PM) provided business optimization, process visibility, exception handling Closed loop processing using BAM and Data Integration combined eliminated ordering/replenishing inventory errors by reducing inaccurate data Takeaway: We can learn from companies like Ross that use techniques of SOA together with Data Integration to capitalize on this new-found agility.
  • ODI ST Partnership

    1. 2. Oracle Data Integration An Overview with Emphasis in DW Appliances
    2. 3. Where Does Data Integration Fit? Essential Ingredient for Information Agility SOA <ul><li>Data Services </li></ul><ul><li>Information services </li></ul><ul><li>Process Integration </li></ul><ul><li>Event driven data integration </li></ul><ul><li>Governance and Impact Analysis </li></ul>Business Intelligence <ul><li>Data Integration for BI applications </li></ul><ul><li>Event driven BI </li></ul><ul><li>Heterogeneous Data Access </li></ul><ul><li>Information-based analytics </li></ul><ul><li>Report to Source Data Lineage </li></ul>Enterprise Data Warehousing <ul><li>Extract, Transform, Load </li></ul><ul><li>Data Migration, Bulk Data </li></ul><ul><li>Data Quality, Profiling </li></ul>Master Data Management Data Integration
    3. 4. Oracle Data Warehouse Breaks Data Bandwidth Bottlenecks <ul><li>More Pipes </li></ul><ul><ul><li>Modular storage “cell” building blocks organized into Massively Parallel Grid </li></ul></ul><ul><ul><li>Bandwidth scales with capacity </li></ul></ul><ul><li>Bigger Pipes </li></ul><ul><ul><li>InfiniBand interconnect transfers data 5x faster than Fibre Channel </li></ul></ul><ul><li>Ships Less Data Through Pipes </li></ul><ul><ul><li>Query processing is moved into storage to dramatically reduce data sent to servers while offloading server CPUs </li></ul></ul><ul><li>Runs the Oracle Database </li></ul><ul><ul><li>Database and options run unchanged </li></ul></ul>Exadata Moves a Lot Less Data a Lot Faster
    4. 5. Oracle Master Data Management Comprehensive MDM Application Solutions Data Governance Oracle Fusion Middleware Analytical MDM Apps Operational MDM Apps Application Integration Architecture Enterprise schema & Common services Operational Systems Siebel PeopleSoft JDE Budgeting Analytical Systems DW BI &Datamarts Planning Dashboards Financial Consolidation Customer Supplier Product Install Base Employee Financial Oracle / Hyperion Data Relationship Management Analytical Site EBS SAP Custom Apps External Apps
    5. 6. Use Cases for Oracle Data Integration Unified Data Integration Platform for Enterprise Projects <ul><li>Data Integration </li></ul><ul><li>Bulk-load historical data to new application </li></ul><ul><li>Synchronize new and old applications </li></ul><ul><li>Complex transformations, CDC </li></ul><ul><li>Ensure database-level consistency across applications bidirectional </li></ul><ul><li>BI & Data Warehouse </li></ul><ul><li>Real-time Data Warehouse for BI </li></ul><ul><li>Populate Warehouse with High Performance ODI </li></ul><ul><li>Aggregates and aligns data for operational analytics, performance management, etc </li></ul><ul><li>Modernization </li></ul><ul><li>Mainframe / iSeries sources to Oracle RAC </li></ul><ul><li>Re-architect legacy batch processing to SOA and ODI-EE </li></ul><ul><li>Unification of structured and unstructured data </li></ul><ul><li>Data Migrations & Consolidation </li></ul><ul><li>Upgrade Applications or Migrate to New Schema </li></ul><ul><li>Single-time Bulk load and/or keep in Sync with ongoing translation, delivery of data. </li></ul><ul><li>Applications merge support </li></ul><ul><li>SOA Initiatives </li></ul><ul><li>Establish Messaging Architecture for Integration </li></ul><ul><li>Incorporate Efficient Bulk Data Processing with ODI </li></ul><ul><li>Providing data access, transformation etc. as services within SOA </li></ul><ul><li>Master Data Management </li></ul><ul><li>Create Single View of the Truth in real time </li></ul><ul><li>Aggregating multiple operational sources </li></ul><ul><li>Synchronize Data with ODI-EE </li></ul><ul><li>Supports master data stores, publishes master data changes to all consumers </li></ul>
    6. 7. Introducing ODI-EE
    7. 8. Key Data Integration Products <ul><li>Comprehensive Integration </li></ul><ul><li>ELT/ETL for Bulk Data </li></ul><ul><li>Data Delivery Services </li></ul><ul><li>Process Orchestration </li></ul><ul><li>Service Bus </li></ul><ul><li>Human Workflow </li></ul><ul><li>Data Federation </li></ul><ul><li>Replication & Migration </li></ul><ul><li>Data Governance </li></ul><ul><li>Data Grid </li></ul><ul><li>ELT/ETL for any DB </li></ul><ul><li>Changed Data Capture </li></ul><ul><li>Native SQL Code Gen </li></ul><ul><li>Declarative Design </li></ul><ul><li>ELT for Oracle DB </li></ul><ul><li>Database Modeling </li></ul><ul><li>PL/SQL Code Gen </li></ul><ul><li>Flow-based Design </li></ul><ul><li>Business Data / Metadata </li></ul><ul><li>Statistical Analysis </li></ul><ul><li>Time Series Reporting </li></ul><ul><li>Integrated Data Quality </li></ul><ul><li>Cleansing & Parsing </li></ul><ul><li>De-duplication </li></ul><ul><li>High Performance </li></ul><ul><li>Integrated w/ODI </li></ul>New
    8. 9. Oracle Core Features Comprehensive Data Integration Platform <ul><li>E-LT Data Processing </li></ul><ul><ul><li>Set-based Transformation </li></ul></ul><ul><ul><li>Configurable Deployment (E-LT, E-T-L, or others) </li></ul></ul><ul><ul><li>Native Code Generation </li></ul></ul><ul><li>Declarative Integration Designer </li></ul><ul><ul><li>Reverse Engineering of Sources </li></ul></ul><ul><ul><li>Intuitive Data Mapping </li></ul></ul><ul><ul><li>Built-in Reporting </li></ul></ul><ul><li>Metadata Lineage </li></ul><ul><ul><li>Graphical Impact Analysis </li></ul></ul><ul><li>Native SOA Interoperability </li></ul><ul><ul><li>SOA Sources, Targets, or Invoke-able E-LT Jobs, SOA Workflow, etc. </li></ul></ul><ul><li>Automatic Error Handling with Data Recycling </li></ul><ul><li>Changed Data Capture </li></ul><ul><ul><li>Built-in Support for Realtime Data Capture and Streaming </li></ul></ul><ul><ul><li>Log-based or Trigger-based </li></ul></ul><ul><li>Inline Data Quality </li></ul><ul><li>Extensible Knowledge Module Framework </li></ul>
    9. 10. Data Integration Core Use Case Comprehensive, Lightweight Data Integration <ul><li>Key Architecture Benefits: 100% Java, Open APIs, very fast E-LT </li></ul><ul><ul><li>Embeddable Java Agent consumes very little CPU or RAM </li></ul></ul><ul><ul><li>E-LT Architecture uses DBMS CPUs, not the Application CPUs </li></ul></ul><ul><ul><li>Open APIs, Open Metadata, Open XML Knowledge Modules </li></ul></ul>D A B File C C$_0 C$_1 LKM LKM IKM I$ E$ (Errors) CKM IKM RKM JKM Check-Load Transform Extract-Load ODI Agent may be deployed in any part of the architecture ODI Agent ERP Application Business Intelligence & Data Warehouse
    10. 11. <ul><li>Move and transform data. Mixed sources and targets. </li></ul>ODI-EE Value Proposition Agile Data Integration <ul><li>Performance >>> Heterogeneous “E-LT” </li></ul><ul><li>Flexibility >>> Event-Driven Platform </li></ul><ul><li>Productivity >>> Declarative Design </li></ul><ul><li>Open >>> 100% Java and SOA Native </li></ul><ul><li>Hot-Pluggable >>> Knowledge Modules </li></ul>BENEFITS KEY DIFFERENTIATED FEATURES
    11. 12. Differentiator : E-LT Architecture High Performance <ul><li>Conventional: Separate ETL Server </li></ul><ul><ul><li>Proprietary ETL Engine </li></ul></ul><ul><ul><li>Poor Performance </li></ul></ul><ul><ul><li>High Costs for Separate Standalone Server </li></ul></ul><ul><ul><li>IBM & Informatica’s approach </li></ul></ul><ul><li>Oracle: No New Servers </li></ul><ul><ul><li>Lower Cost: Leverage Compute Resources & Partition Workload efficiently </li></ul></ul><ul><ul><li>Efficient: Exploits Database Optimizer </li></ul></ul><ul><ul><li>Fast: Exploits Native Bulk Load & Other Database Interfaces </li></ul></ul><ul><ul><li>Scalable: Scales as you add Processors to Source or Target </li></ul></ul><ul><li>Benefits </li></ul><ul><ul><li>Optimal Performance & Scalability </li></ul></ul><ul><ul><li>Better Hardware Leverage </li></ul></ul><ul><ul><li>Easier to Manage & Lower Cost </li></ul></ul>Conventional ETL Architecture Extract Load Transform Next Generation Architecture “ E-LT ” Load Extract Transform Transform
    12. 13. Real Time Data Warehouse Transactional RDBMS Transactional RDBMS Transactional RDBMS Source Systems Data Warehouse Source DB’s Redo Logs / Triggers Change Tables Subscription Views Staging Area Data Warehouse Differentiator : Changed Data Capture Event-Driven Framework for Realtime Data Warehouse Logs Logs Logs CDC Records CDC Records CDC Records CDC Records CDC Records CDC Records CDC Records CDC Records CDC Records
    13. 14. Focus on Oracle BIEE Suite Plus Unify Data Integration with Business Intelligence <ul><li>Integrated with Oracle BIEE Plus </li></ul><ul><ul><li>Support for relational, R-OLAP, OLAP sources & targets </li></ul></ul><ul><li>Report-to-source lineage </li></ul><ul><ul><li>Drill-in from a Report </li></ul></ul><ul><ul><li>Get query, DW schema, source tables, transforms </li></ul></ul><ul><ul><li>Gain confidence in analytics </li></ul></ul><ul><li>Unified infrastructure </li></ul><ul><ul><li>Unified metadata & lineage </li></ul></ul><ul><ul><li>Integrated Data Quality </li></ul></ul><ul><ul><li>Unified data access, </li></ul></ul><ul><ul><li>Common administration & monitoring </li></ul></ul><ul><ul><li>Integrated scheduling & security </li></ul></ul><ul><ul><li>Common auditing & tracing </li></ul></ul><ul><ul><li>Common error handling </li></ul></ul>Oracle EBS PeopleSoft SAP/R3 Other Sources Data Warehouse CDC Message Queues Enterprise Data Warehouse Design & Drill Data Flow Bulk and Real-Time Data Processing Information Assets <ul><li>Oracle RAC </li></ul><ul><li>Teradata </li></ul><ul><li>Netezza…etc </li></ul>Oracle BIEE Suite Plus Oracle Data Integration Suite Metadata Lineage Data Distribution & Delivery APIs Bulk/Trickle Loading Changed Data Capture Master Data Data Quality & Profiling ODI Knowledge Module Framework Oracle Business Intelligence Server Common Enterprise Information Model Interactive Dashboards Ad hoc Analysis Proactive Alerts Microsoft Office Reporting & Publishing
    14. 15. Report to Source Data Lineage Explore Lineage from Target Columns to Source Columns
    15. 16. Focus on OBI Analytic Applications Overview <ul><li>Pre-Built BI Analytic Applications </li></ul><ul><ul><li>Pre-built Metrics, 5000+ Dashboards, Data Warehouse 350+ Star Schema </li></ul></ul><ul><ul><li>Implementation Time: 3-4 Weeks </li></ul></ul><ul><ul><li>Works with EBS, PSFT, SAP, SEBL, JD-Edwards Sources </li></ul></ul><ul><ul><li>Biggest Savings: Pre-built ETL </li></ul></ul><ul><li>Faster & Lower Cost to Build & Maintain ETLs </li></ul><ul><ul><li>Knowledge Module Architecture Enables Efficient Development of Packaged ETL </li></ul></ul><ul><ul><li>Reduce Complexity and Size of Code </li></ul></ul><ul><ul><li>Reuse DW Creation, Update, Load Times </li></ul></ul><ul><ul><li>Value-add Modules (e.g. SOX) </li></ul></ul><ul><li>Extensible by Customers & System Integrators </li></ul>Oracle BI Analytic Applications Oracle BI Server and Semantic Layer Oracle EBS People Soft SAP/R3 Other Sources Data Warehouse CDC Message Queues Analytics Data Warehouse Information Assets Sales MKting Order Mgt Supply Chain Finance HR Contact Center Weeks or months Pre-built BI Apps ETL Mapping DW Design Training Years or quarters Metrics & Dashbrds Build from Scratch 50% Data Flow Bulk and Real-Time Data Processing Oracle Data Integrator Metadata Repository ODI Knowledge Modules for BI Analytic Applications Bulk Transform. Changed Data Capture Data Integrity Data Quality ODI Connectivity Framework Pre-Built ODI Interfaces and Transformation Packages for Analytic Applications
    16. 17. Oracle Hyperion Application Adapters Focus on Oracle | Hyperion Applications Leveraging EPM with Embedded Data Integration Oracle EBS PeopleSoft SAP/R3 Other Sources Data Warehouse CDC Message Queues Information Assets Bulk and Real-Time Data Processing Oracle Hyperion Planning Oracle Hyperion Financial Mgt Oracle Hyperion Essbase Planning API HFM API Essbase API Oracle | Hyperion Data Access Data Services Authentication Logging Services API Layer Hyperion Planning Hyperion Financial Management Hyperion Essbase Metadata Discovery & Model Creation Extract Data Use Essbase KM Extracts Dimension Members Use Essbase KM Loads Data Loads Dimension Members Other Features Cube Refresh Consolidate Calculate Oracle Data Integration Suite Metadata Lineage Data Distribution & Delivery APIs Bulk/Trickle Loading Changed Data Capture Master Data Data Quality & Profiling ODI Knowledge Module Framework
    17. 18. Focus on Hyperion MDM Foundation for Data Relationship Management (DRM) <ul><li>Hierarchy management </li></ul><ul><ul><li>Derivation/inheritance </li></ul></ul><ul><ul><li>Classification, categorization </li></ul></ul><ul><ul><li>Attribute management </li></ul></ul><ul><li>Change management </li></ul><ul><ul><li>Streamlined, automated </li></ul></ul><ul><ul><li>Valid-from, Valid-to ranges </li></ul></ul><ul><ul><li>Compare any 2 versions </li></ul></ul><ul><li>Business-user driven </li></ul><ul><ul><li>Easy user declarative tool </li></ul></ul><ul><ul><li>Specify business rules </li></ul></ul><ul><ul><li>Multi-user collaboration </li></ul></ul><ul><ul><li>What-if & historical analysis </li></ul></ul><ul><li>Meets IT requirements </li></ul><ul><ul><li>Synchronize with operational systems </li></ul></ul><ul><ul><li>Complete auditing, fine-grained security </li></ul></ul><ul><ul><li>Configurable, no coding </li></ul></ul>Hyperion Data Relationship Management Information Assets Oracle EBS People Soft SAP/R3 Other Sources Data Warehouse CDC Message Queues Oracle Data Integrator DRM Import/Export Profiles Bulk and Real-Time Data Processing Metadata Repository ODI Knowledge Modules for DRM Bulk Transform. Changed Data Capture Data Integrity Data Quality ODI Connectivity Framework
    18. 19. Hyperion Data Relationship Management Closed-loop Master Data Management Oracle Data Integrator & Oracle Data Quality Oracle Data Integrator & Oracle Data Quality Operational E-Business Suite JD Edwards HR Legacy SAP Siebel CRM People Soft Hyperion Data Relationship Management Hierarchy Governance Master Hierarchies and Versions Cost Centers Entities Accounts Org Struct Geography Analytic Financial Apps Budgeting Planning & Forecasting Analytics Key Performance Query / Reporting Enterprise Reporting
    19. 20. ODI-EE A Look Ahead
    20. 21. ODI for Oracle Fusion Data Integration as a Key Fusion Differentiator <ul><li>Fusion Applications </li></ul><ul><ul><li>Built-in, Automated Data Replication among ERP Applications </li></ul></ul><ul><li>Fusion Business Intelligence </li></ul><ul><ul><li>Pre-built Analytics from Fusion ERP Applications </li></ul></ul><ul><ul><li>Automatic Mapping and Model Updates (Application-driven) </li></ul></ul><ul><li>Fusion Master Data Management </li></ul><ul><ul><li>Data Replication, Conflict Detection and Conflict Resolution </li></ul></ul><ul><li>Fusion w/Essbase </li></ul><ul><ul><li>Fusion Financials (Automatic Financial Consolidation) </li></ul></ul><ul><ul><li>Pre-built Essbase Content with Apps and Business Intelligence </li></ul></ul>
    21. 22. High-Level Data Integration Roadmap Towards a Unified ETL Platform Unified Platform <ul><li>OWB/ODI Investments are Fully Protected </li></ul><ul><li>No Forced Migrations </li></ul><ul><li>Natural Upgrade Path </li></ul><ul><li>Unified Platform aims to be a Superset of Existing Products – no regression </li></ul>2009 2010 2011 Unified Team 2009
    22. 23. ODI J2EE Deployment Architecture Logical Architecture Overview WLS RDBMS – ODI Repositories ODI Master Repository ODI Work Repository ODI Work Repository ODI Work Repository Any Java App Any Web App JDeveloper ODI in JDev Designer Operator Security Topology Data Sources Connection Pool Repository Data Sources Sources Data Sources Target Data Sources Repository Data Sources Sources Data Sources Target Data Sources Repository Data Sources Sources Data Sources Target Data Sources Servlet Container ODI Agent ODI Thin Client Web Service Container ODI Transform. Service ODI Data Services Any Application Container Any Application ODI SDK APIs MBeans Server Registry Any MBeans App ODI MBeans for ODI Agent Sources and Targets ERP --- --- --- --- --- --- CRM - - - Legacy --- --- --- --- --- --- --- --- --- --- --- --- Best-of-Breed Applications PLM Any Java App Any Application ODI SDK APIs
    23. 24. ODI 11gR1 New Features Availability Planned for 1HCY10 Timeframe <ul><li>JDeveloper-based Tooling </li></ul><ul><li>J2EE deployment option (using Weblogic Server) </li></ul><ul><li>Standalone Option is Preserved – using Jetty </li></ul><ul><li>JPS-based Security (external password management) </li></ul><ul><li>Enterprise Scheduler (ESS) Integration </li></ul><ul><li>Enterprise Manager Integration </li></ul><ul><li>New Thin Client (consolidated + more mgmt features) </li></ul><ul><li>Set-based Operators and Temporary Index Management </li></ul><ul><li>Java SDK APIs for Improved Embedability </li></ul><ul><li>JDE Enterprise One Knowledge Modules (v8.x and higher) </li></ul><ul><li>SAP ERP Knowledge Modules (v4.6 and ECC 6.0) </li></ul><ul><li>SAP iDocs Knowledge Modules (v4.6 and ECC 6.0) </li></ul><ul><li>SAP BW Knowledge Modules (v3.5 and v7.0) </li></ul>
    24. 25. Customer Examples
    25. 26. Enterprise Data Warehouse Raiffeisen Bank <ul><li>Meets legal requirements for data consolidation in the head office (Basel II, Investor reporting) </li></ul><ul><li>Seamless and realtime Capital Market reporting to investors and stakeholders </li></ul><ul><li>Single-source of truth for business information – supports Business Intelligence and EDW </li></ul><ul><li>One standardized enterprise data model over the whole RZB Group </li></ul><ul><li>Reduction of core integration/development costs through central development practice </li></ul><ul><li>Reduced time to market for new Group applications through central interface development </li></ul><ul><li>Performance Issues with existing ETL Tool (IBM DataStage) </li></ul><ul><li>New functions required for the next DWH releases (realtime, replication, etc) </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Costs for Enterprise Data Warehouse infrastructure were growing too fast </li></ul><ul><li>EDW processes not keeping up with 24x7 operations, ETL batches too slow </li></ul>
    26. 27. Order Replenishment, Online Catalog J. Crew <ul><li>Simplified the end-to-end data integration with all their core IT systems and database platforms to reduce the total cost of ownership of their order replenishment and cataloging </li></ul><ul><li>Benefited from the Oracle advantage in batch processing, bulk data transformation for increased performance </li></ul><ul><li>Successfully leveraged SAP and Teradata integration to phase out legacy systems and ultimately reduce costs </li></ul><ul><li>Order replenishment for online catalog system </li></ul><ul><li>Define new corporate standard for data integration </li></ul><ul><li>Better integrate data across 175 retail stores and 52 outlet chains </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Replace antiquated home-grown solution of scripts </li></ul><ul><li>Teradata bulk data support, and help integrate data across SAP, Red Prairie Inventory systems </li></ul>
    27. 28. Financial Services, Reinsurance New Reinsurance, Division of the Munich Re Group <ul><li>Seamlessly integrated across (Oracle applications (E-business Suite, Siebel CRM) SAP, IBM, etc) to manage the regeneration of all code, scripts, and metadata across the different environments. </li></ul><ul><li>Lowered the cost of development by taking advantage of ODI’s declarative model, ease of use, and team collaboration capabilities. </li></ul><ul><li>NRC benefited from the flexibility and standards based approach of ODI, helped leverage the existing environment. </li></ul><ul><li>Needed quality of data but uncompromising on the cost to meet that objective. </li></ul><ul><li>Data interactions between multiple complex systems, including both SAP and homegrown insurance applications </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Hard to modify and maintain manually-developed data transfer programs. </li></ul><ul><li>Data transfers as part of reinsurance, risk transactions </li></ul>
    28. 29. Improve Inventory Control Ross <ul><li>Seamless data integration from heterogeneous sources leveraging SOA helped to create a more flexible, standards based integration approach </li></ul><ul><li>73% Bulk data transfer performance improvement </li></ul><ul><li>Together with Oracle SOA Suite (Oracle BPEL PM) provided business optimization, process visibility, exception handling </li></ul><ul><li>Closed loop processing using BAM and Data Integration combined eliminated ordering/replenishing inventory errors by reducing inaccurate data </li></ul><ul><li>Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains </li></ul><ul><li>Lack of visibility to errors to the business </li></ul><ul><li>Higher cost and time to delivery of new value </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Current state was complex, didn’t scale, and difficult to manage </li></ul><ul><li>Non-standard approach required coding paradigm, inconsistent error handling </li></ul>Dain Hansen
    29. 30. Shared Data Services Verizon <ul><li>ODI + SOA helped to build out a shared services layer which helped provide greater flexibility </li></ul><ul><li>These shared services consolidate database (DB2, Sybase, Informix to Oracle), consolidate ERP (PeopleSoft HR/Payroll, Decommissioning SAP), consolidate middleware (Oracle FMW) and consolidate BI/ETL </li></ul><ul><li>In addition the program helped to decommission Cystal and Cognos and adopt Oracle BIEE </li></ul><ul><li>Streamline and automate business processes around new hire on boarding </li></ul><ul><li>Provide better business insight and manage FiOS supply chain </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Lower the cost of rewriting SAP, PSFT & Legacy interfaces (about 209) through custom code </li></ul><ul><li>Lower the cost of IT infrastructure from multiple systems </li></ul>Dain Hansen
    30. 31. Sales and Marketing Data Warehouse Nestle <ul><li>Replaced weekly insertion with daily recording of change in status with time imprint for all clients—allowing for more effective client follow-up, for example </li></ul><ul><li>Improved response times by transferring reporting processes to the data warehouse </li></ul><ul><li>Improved reactivity for restocking requirements thanks to daily updates on stock quantity and value for each store </li></ul><ul><li>Provided overall view of the status of business processes, resulting in improved user communication </li></ul><ul><li>Hard to consolidate consistent, accurate inventory information across over 800 multiple store chains </li></ul><ul><li>Lack of visibility to errors to the business </li></ul><ul><li>Higher cost and time to delivery of new value </li></ul>Business Challenges Oracle Data Integration Solution Benefits IT Challenges <ul><li>Manage a data warehouse for operational transactions and marketing information </li></ul><ul><li>Scale available for high-value-added actionable data on clients, orders, stock, etc. </li></ul>Dain Hansen <ul><li>Enable the marketing and CRM team to better target its campaigns and activities across 50 countries </li></ul><ul><li>Anticipate future reporting challenges, in light of the strong increase in the volume of production data </li></ul>
    31. 32. Questions
    32. 34. The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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