Metadata Integration Vendor Panel Introduction & Welcome presented by Christian Bremeau Meta Integration, President, CEO

Transcription

1 Metadata Integration Vendor Panel Introduction & Welcome presented by Christian Bremeau Meta Integration, President, CEO Adaptive ASG Business Objects CA Cognos Embarcadero IBM Informatica MetaMatrix Microsoft NCR Teradata Oracle SAS Sybase Geoff Sherwood Scott McCurdy Awez Syed Danny Sandwell Rachel Bland Greg Keller Nathan Bobbin Marc Bourget John Verhaeg Donald Farmer Steve Long Joseph Zheng Liz McIntosh Dave Dichmann Senior Consultant, Adaptive Repository Vice President, Rochade Director, Product Management Product Manager, ERwin Product Manager, Metadata & Modeling Vice President, Product Management Product Manager, Metadata Services Product Manager, Metadata Services Principal Software Engineer Group Program Manager, SQL Server BI Product Manager, Meta Data Services Director, Software Development, OWB Metadata Integration Technologies Product Manager, PowerDesigner Metadata Integration Vendor Panel Page 1

2 Metadata Flow & Life Cycle: the heart beat Forward Metadata Flow Reverse Metadata Flow The metadata movement between tools can: - preserve the model as is or include transformations (e.g. forward or reverse engineering from/to BI tools) - create and a new model, or update an existing one Legacy Migration Multi-Vendor Development Tools Design & Modeling Business Intelligence (BI) OM - Object Modeling DM - Data Modeling Data Movement & Data Integration (EAI, ETL, EII) Dimensional Modeling Report Authoring Metadata inside Operational Data Stores & Data Warehouses Flat File Structures XML Schema or DTD RDBMS Schema / DDL OLAP metadata Metadata Integration Vendor Panel Page 2

3 Metadata Lineage & Impact Analysis Quadrant of Use Cases ODS > ETL > DW > DM > BI Technical Users - Application Development: RDMS, ETL, EAI, EII, DW, BI, & Reporting - Unit Testing - Integration Testing - Certification Testing - User Acceptance - Deployment -Auditing Business Users Forward Lineage Very High Interest Life Cycle Impact Analysis Change Management Little to No Interest Reverse Lineage High Interest Support Business Users: Metadata/Data Origin Report Justifications High Interest Report Analysis: where is is this data coming from? how was it it calculated? Sarbanes-Oxley Act (SOX) Compliance!!! Metadata Integration Vendor Panel Page 3

4 Metadata Lineage & Impact Analysis more & more vendors involved Classic Enterprise Architecture Operational Data Stores Staging Databases Data Warehouse Data Marts Reports ETL Vendors BI Vendors Modern Enterprise Architecture Staging Databases Data Warehouse Data Marts Operational Data Stores OLAP Cubes Dimensional Stores (semantic/business layer) Reports EII Stores RDBMS Vendors ETL Vendors OLAP Vendors EII Vendors BI Vendors Metadata Integration Vendor Panel Page 4

5 Metadata Lineage & Impact Analysis more & more complex Classic Enterprise Architecture Operational Data Stores Staging Databases Data Warehouse Reports Modern Enterprise Architecture Operational Data Stores Staging Databases Data Warehouse Data Marts Dimensional Stores (semantic/business layer) Reports OLAP Cubes EII Stores Metadata Integration Vendor Panel Page 5

6 Metadata Lineage & Impact Analysis Metadata Stitching Metadata Resource COB REC OBJ CPP JAV ERA REL DTD XSD TRF DIM CUB REP Types: Cobol Record Object C++ Java Data RDBMS XML XML Transformation Dimensional Cube Report code definition Model code code Model Schema(DDL) DTD Schema in ETL, BI, etc. Model Model Model CA AllFusion ERwin ERA TRF REL Teradata MDS REL BO Universe BO Reporter REL TRF DIM DIM TRF REP IBM Rational Rose Informatica PowerCenter OBJ TRF XSD XSD TRF REL Embarcadero ER/Studio ERA TRF REL BO Crystal 9 REL TRF REP Oracle Warehouse Builder NCR Teradata FastLoad / BulkLoad Microsoft DTS REL TRF REL REL TRF REL REL TRF REL IBM / Ascential DataStage IBM DB2 Cube Views REL TRF REL REL TRF DIM TRF CUB REL Cognos Framework Manager Cognos ReportNet TRF DIM DIM TRF REP Metadata Integration Vendor Panel Page 6

7 Metadata Merging Metadata Integration Strategies - The classic one version of the truth that drove so many repositories - Metadata is merged as side effect of the metadata import into the repository. - The target of the ETL is merged with source of the BI for one version of the truth Metadata Stitching Informatica PowerCenter XSD TRF Ascential DataStage REL TRF CA AllFusion ERwin ERA TRF REL BO Universe TRF DIM Cognos ReportNet TRF DIM - Each tool has its own version / interpretation of the truth for each metadata store. - Metadata is integrated as a stitching (post) process which is independent of the metadata acquisition process. Informatica PowerCenter - A data flow Configuration integrates (stitches) together a set of Versions of data stores XSD TRF REL and data processes like ETL, EII, BI, etc. - Leads to metadata Version & Configuration Management for metadata life cycle management / change management, and for metadata lineage & Impact Analysis Ascential DataStage REL TRF REL CA AllFusion ERwin ERA TRF REL BO Universe REL TRF DIM Cognos ReportNet REL TRF DIM Metadata Integration Vendor Panel Page 7

8 Repository Categories similar data & metadata architectures Development Metadata Repositories Operational Metadata Repositories Life Cycle Metadata Repository Analysis Metadata Repository Metadata EAI Metadata import/ export The development and operational metadata repositories can be the same product (development vs. production instance) or the operational repository can be a specific product with only run time metadata Data Modeling Tool Model Manager ETL Development Tool Power Center BI Development Tool e.g. CA AllFusion ERwin e.g. Informatica Development to production e.g. Cognos ReportNet Metadata Check-in Check-out Metadata bi-directional ETL The life cycle and analysis metadata repositories can be the same product. Version & configuration Management Metadata Comparison Metadata Integration Metadata Mapping Run-time (execution log) Metadata Metadata one-way ETL Metadata DW / BI Metadata Stitching Metadata Lineage & Impact Analysis Metadata Reporting Framework Manager Development to production Metadata Integration Vendor Panel Page 8

9 OMG Meta Data Standards from CWM to IMM Meta Object Facility (MOF) Information Management Metamodel (IMM) Unified Modeling Language (UML) New RFP (CWM 2.0) M2 Meta- Levels M3 Meta-metamodel Metamodel, Meta-metadata OMG Examples The MOF MetaMetaModel The UML MetaModel with Class, Operations, Attributes, Relationships, etc. The CWM Relational MetaModel with Table, columns, Primary Keys, etc. Warehouse Management Analysis Common Warehouse Metamodel (CWM) Transformation Warehouse Process OLAP Data Mining Information Visualization Warehouse Operation Business Nomenclature M1 Model, Metadata, (also Schema) A UML Object Model with a Class Customer and an operation getaddress A CWM Relational Model with a Table CustomerAddress and Columns: Street, Zip, etc. Resources Object- Oriented Relational Record- Oriented Multi Dimensional XML Instance of Level M0 Data, Object, Instance, (also record, row) { Meta Integration, Inc., 949 Sherwood Ave. Suite 200, Los Altos, CA } XML Metadata Interchange (XMI) Foundation CWM Levels Business Information Data Types Expressions Keys Index Object Core Type Mapping Software Deployment Metadata Integration Vendor Panel Page 9

10 What level of Metadata support to expect from these vendors? Shall your next modeling tool, EAI, ETL, EII design tool, or metadata repository provide: More Metadata Integration between tools? for better integrated single vendor total solution for better integrated multi-vendor best of breed solution Better integrated Metadata Version & Configuration Management? New Metadata Lineage & Impact Analysis? More support for Metadata Standards? More Metadata tools? Metadata comparators, mappers, integrators? Metadata Integration Vendor Panel Page 10

11 Adaptive Geoff Sherwood (Senior Consultant, Adaptive Repository) Web-based Enterprise Repository Mid-Tier Server Application Server Browser SVG Viewer (S)HTML SVG Adaptive Web Application JSPs H T M L XSLT URL Layout Engine XML Core Functionalit y (servlets and Java libraries) SMTP LDAP Corporate Server Corporate Security Server Database Server External Source Client or Target SystemsIntegration Library Adaptive Integrator MIMB Adapter Other Adapters XMI JDBC Oracle Web Services Metadata Integration Vendor Panel Page 11

12 Adaptive Geoff Sherwood (Senior Consultant, Adaptive Repository) Standard Metamodel Support MOF MOF Versioning XMI UML DI CWM SPEM EDOC CCA RAS ITPMF BMM Under Development: MOF Facility MOF QVT BPDM BSBR ODM KDM OSM Get Involved! Contributors required for definition of IMM IMM the Information Management Metamodel Metadata Integration Vendor Panel Page 12

13 Geoff Sherwood (Senior Consultant, Adaptive Repository) Adaptive EA - The Bigger Picture Strategy HR Finance Adaptive External IT Organisation Governance Project Process Performance Metadata Integration Vendor Panel Page 13

14 ASG Scott McCurdy (Vice President, Rochade) The Vision for Metadata Single Point of Truth Starts with specific problem space (e.g., data warehouse), that expands with demand (becoming corp. infrastructure) Out of the box solutions for common needs Data Warehouse Management Application Mapping and Understanding Enterprise Architecture Service-oriented architectures Built on Industrial strength core technologies Ubiquitous (metadata) Access anytime, anywhere Across a spectrum of skill-levels Supporting all languages / geographies Metadata Integration Vendor Panel Page 14

15 Bus. Goals People Bus. Processes ASG Scott McCurdy (Vice President, Rochade) Single Point of Truth for DW? (a scenario) DB2 UDB Sybase Case Tools ETL Tools BI Tools COBOL Java PL1 Data Oracle SQL Svr Teradata Applications SAP Peoplesoft Siebel, Data Modeling Tools Process Modeling Tools Assembler C/C++ HW/OS Client Web Svr App Svr Mid-range Mainframe Windows AS400 Linux UNIX z/os more Network Routers, Network protocols, Middleware, etc. Metadata Integration Vendor Panel Page 15

16 Scenario SAP COBOL Data Modeling UDB Oracle COBOL ETL Tools Teradata BI Tools ASG Scott McCurdy (Vice President, Rochade) Single Point of Truth for DW? What s required (what are we doing): Single ETL point Tool, of BI understanding Tool, modeling across tool, Excel, etc. DBMSs Transformation technologies XMI, web services, CWM, etc. Launched from user s tool of choice With openness and standards in mind ETL tools, development languages, etc. BI Tools Enabling the business problem to be Support for automated linking across solved technologies more and quickly vendor and tools efficiently Data lineage / impact analysis available back to operational system Metadata information viewable in format acceptable to a variety of users while implementing metadata as an infrastructure leveragable by the entire Graphical ER, logical, Definition drill down physical of of data, lineage, organization. examples perspective transformations, and and impact stewards analysis (Arch / Data Admin teams) (arch, (business analysts, and dw proj tech team, users) etc.) Metadata Integration Vendor Panel Page 16

17 Business Objects, Inc. Awez Syed (Director, Product Management) Where did that number come from? Will it meet compliance regulations? How fresh is the data? How was it transformed & filtered? Metadata Integration Vendor Panel Page 17

18 Business Objects Awez Syed (Director, Product Management) Integrated metadata across BusinessObjects suite Metadata is common and shared between all the products in the suite including ETL, EII, Quality, Profiling, BI, Dashboards, Applications Open metadata across BusinessObjects suite Metadata in Business Objects products is open and accessible via SQL or open API and available to everyone Open metadata exchange with 3 rd party products CWM support, open SDK to transfer metadata to and from other tools and products Event-based publishing and acquisition of metadata elements Metadata Integration Vendor Panel Page 18

19 Business Objects Awez Syed (Director, Product Management) Track metadata relationships Automatic lineage detection, data transformations through multiple steps Answer Where used and How used questions easily Explore and understand metadata relationships from source to target to tools and users Search Easily locate reports, tables and other metadata elements based on name, descriptions, relationships, usage and currency Versioned with ability to track changes For tables, reports, mappings etc. Extend metadata attributes and relationships Define custom relationships, add new attributes Metadata Integration Vendor Panel Page 19

20 CA Danny Sandwell (Product Manager, AllFusion Modeling) Customers expect our metadata to be: Complete Open Portable Accessible Reconcilable Metadata Integration Vendor Panel Page 20

21 CA Danny Sandwell (Product Manager, AllFusion Modeling) Our current metadata vision includes: Support for industry standards Improved meta model and meta object filtering when exchanging model specific metadata Metadata based strategic product integrations Other modeling products Other repository based products Metadata CCM products Interfaces to participate in the automation and management of meta data related processes Metadata Integration Vendor Panel Page 21

22 Cognos Metadata for Performance Management Rachel Bland (Product Manager, Metadata and Modeling) Modeling of business views independent of data source type and structure. Advanced query generation Support for third party metadata to leverage existing metadata Information exchange For Cognos Data Integration - ETL, EII and OLAP Common foundation modeling of BI, Metrics and Adaptive Analytics Metadata Integration Vendor Panel Page 22

23 Cognos Metadata for Performance Management Rachel Bland (Product Manager, Metadata and Modeling) What drives Metadata in the Performance Management space? Rate of adoption of any concept or technology is driven by customer pain points and value: Data storage Where does the data come from? Data access Where does the data go? Reporting and Analysis What does the data mean? Performance Management How do we use the data to run our business better? Metadata is the glue that ties together the information acquired during all of these phases of building an IT infrastructure. Metadata Integration Vendor Panel Page 23

24 Cognos Metadata for Performance Management Rachel Bland (Product Manager, Metadata and Modeling) Integration, Versioning & Configuration Metadata Integration between tools: Diverse purposes: Administrative metadata: physical source schemas, transformations etc Semantic and Administrative metadata for power users. Business metadata: semantic naming, calculation formulae, filters Different scope for different system architectures: Leverage existing technology investments across diverse vendors. Leverage single-vendor investments Metadata Version & Configuration Management Lifecycle is the key Volatility of metadata differs throughout the tiers of a solution. 2 pronged approach: Methodology and Technology MetaIntegration plays a key role by enabling us to better integrate with our partners. Metadata Integration Vendor Panel Page 24

25 Cognos Metadata for Performance Management Rachel Bland (Product Manager, Metadata and Modeling) Lineage and Impact Analysis Separate but Intertwined Lineage - means different things to different groups Finance Legislative standards compliance Who changed what/knew what and when? Power User Which data from which source? Timeliness - how latent is the data? Quality does this data match that data why/why not? Business user analysis What does this data mean? What is the difference between unit_price and unit_sale_price? Where is this list of products sourced from? Sales system? Inventory? Who is the steward of this data (MDM) Impact Analysis Finance uses lineage to determine upstream impact Power User When my data changes or refreshes or is merged how does this impact my consumers? Has the meaning changed? Is a report broken? Business user is this report valid, is the data up to date Metadata Integration Vendor Panel Page 25

26 Cognos Metadata for Performance Management Rachel Bland (Product Manager, Metadata and Modeling) Emerging opportunities for metadata Standardize Physical and Logical Views of Business Entities (MDM) Enable Solution Lifecycle Management across technologies Map systems and solutions to workflows and processes Metadata Integration Vendor Panel Page 26

27 Embarcadero Greg Keller (Vice President, Product Management) Embarcadero s Metadata Integration Approach ER/Studio Enterprise Business data modeling/database design and maintenance Central point of meta data analysis and design MetaWizard Metadata Integration Utility DT/Studio Model-driven ETL/data integration MetaWizard Metadata Integration Utility Describe UML 2.0-based application, system and business modeling Metadata Integration Vendor Panel Page 27

28 Embarcadero Greg Keller (Vice President, Product Management) Embarcadero s Metadata Integration Approach Embarcadero s model-driven solutions easing the Data Management process Analysis: Import/Consume Analyze Create Standards Communication: Integrate Stakeholder Roles Publish/Enforce Standards Where Used Re-purpose Export/Provide Metadata Integration Vendor Panel Page 28

29 Embarcadero Greg Keller (Vice President, Product Management) Embarcadero s Metadata Integration Approach Embarcadero s model-driven solutions easing the Data Management process Analysis: Import/Consume Analyze Create Standards Communication: Integrate Stakeholder Roles Publish/Enforce Standards Where Used Re-purpose Export/Provide Leverage for Data Integration Leverage for App Development Metadata Integration Vendor Panel Page 29

30 Embarcadero Greg Keller (Vice President, Product Management) Embarcadero s Metadata Integration Approach Embarcadero s model-driven solutions easing the Data Management process Analysis: Import/Consume Analyze Create Standards Communication: Integrate Stakeholder Roles Publish/Enforce Standards Where Used Re-purpose Export/Provide Leverage for Data Integration Leverage for App Development Metadata Integration Vendor Panel Page 30

31 IBM Information Integration Solutions Metadata Services Nathan Bobbin (Product Manager, Metadata Services & Technologies) Information as a Service Depends on Metadata All Activities Generate Metadata Metadata Must Be Managed as a Critical Asset Metadata Integration Vendor Panel Page 31

32 IBM Information Integration Solutions Metadata Services Nathan Bobbin (Product Manager, Metadata Services & Technologies) Roles-based Tools & Integrated Metadata Simplify Delivering Information as a Service Simplify integration Facilitate change management & reuse Increase compliance to standards Increase trust and confidence in information Metadata Integration Vendor Panel Page 32

33 Informatica Marc Bourget (Product Manager, Metadata Services) General Trends Information System Architecture has become complex ERP, CRM, Supply Chain, Financials Variety of user profiles Business Users, Business Analysts, IT Developers, Architects Varying requirements across business functions Financial Reporting, Compliance, Operational, etc Metadata Integration Vendor Panel Page 33

34 Informatica Marc Bourget (Product Manager, Metadata Services) Addressing the Information Lifecycle Business/Technical Analyst Developer Admin/Operator Discovery Design Develop Deploy/Operate 30% 30% 40% Ongoing Metadata Search Model rendering Data Profiling Data Preview View explosion Data Lineage Logical/Physical Mapping specification Business rules wizard Business Lineage Mapping Templates Mapping Generation PC Designer Data Lineage Admin Console Workflow Monitor Repository Manager Robust Metadata Management foundation to entire life cycle Metadata Integration Vendor Panel Page 34

35 Informatica Marc Bourget (Product Manager, Metadata Services) Innovation Directions (Metadata) Broader Audience Metadata Catalog as Finder to Data UI Personalization Using metadata to accelerate IT projects Information universe BI (Business User) Design Tools, EII (Information Architect) Databases, ETL (Technical Developer) Metadata services Data Element Profiles Data Lineage Metadata Integration Vendor Panel Page 35

36 Metadata Journey Central console for change management implementation Informatica Marc Bourget (Product Manager, Metadata Services) 4. Control Update and synchronize data across multiple repositories Execute and monitor change management processes Look for reuse, and retire least-used data sources to optimize assets Create Data Dictionary and initiate data stewardship 3. Deploy 2. Design and Build 1. Discover Analyze lineage, where used, and track operational dashboards Connect the information supply chain across sources Search and discover objects across multiple sources Metadata Integration Vendor Panel Page 36

37 Enterprise MetaMatrix Enterprise MetaMatrix John Verhaeg (Principal Software Engineer) MetaMatrix Enterprise Web services & SQL Modeling enterprise data Scalable deployment server Metadata management Application/legacy connectors Project MetaMatrix Dimension MetaMatrix Dimension Web service-enablement of data sources Expose business views as XML Lightweight modeling rapid integration Standard WAR-based deployment ISV / Project MetaMatrix Query MetaMatrix Query Embeddable Java component Federated query engine Query optimization Standard JDBC to all sources Standard SQL to all sources Metadata Integration Vendor Panel Page 37

38 Rapid Web Service-Enablement 1 MODEL Web service Dimension Designer Model-based integration Expose multiple sources, integrated Expose business views of data Output an integration package 2 PACKAGE Web service Web Svc App (WAR) MetaMatrix Query Engine Standard WAR file Integration package is bundled Query engine is bundled Web service fully defined 3 DEPLOY Web service Web Server Deploy WAR file to Web Server Web service fully executable Access via standard SOAP Data exposed as business views Metadata Integration Vendor Panel Page 38

39 MetaMatrix Dimension Modeling Rapid design & deployment of Web Services Expose integrated data as XML-based business views Deployment of Web Services as standard Web apps Runtime execution optimized through use of MetaMatrix Query Engine Dimension Models Data Sources Source Models Business Views Import Map Model Web Service Operations Deploy Web Server to to <XML> <XML> <XML> as WAR XSD WSDL Metadata Integration Vendor Panel Page 39

40 Microsoft (SQL Server) Donald Farmer (Group Program Manager, SQL Server BI, Integration Services) Let's distinguish two use cases Metadata Management Creation, storage, versioning, administration Supported through Visual Studio integration in SQL 2005 Metadata Intelligence Impact analysis, lineage and business metadata Emphasizes relationships and high-level narrative Supported through the Metadata Samples Pack in SQL 2005 Metadata Integration Vendor Panel Page 40

41 Microsoft (SQL Server) Donald Farmer (Group Program Manager, SQL Server BI, Integration Services) Metadata Samples Reporting Pack Launched on MSDN in November 2005 > 3100 downloads Lineage, Impact analysis Customizable reports Embeddable lineage / impact viewer It's shared source! Customizable, extensible and free! Metadata Integration Vendor Panel Page 41

42 Microsoft (SQL Server) Donald Farmer (Group Program Manager, SQL Server BI, Integration Services) No "boil the ocean" repository Model-based systems could not keep pace with rapid technology change Either innovation suffered or repositories became outdated quickly Future directions Technology specific "repositories" Bridging will always be necessary between them Metadata intelligence will help make sense of the relationships It's social networking for data! Metadata Integration Vendor Panel Page 42

43 NCR (Teradata) Steve Long (Product Manager, Meta Data Services) Teradata Meta Data Services (MDS) Provides a framework for storing, retrieving, viewing, and customizing Teradata Warehouse metadata. Persists metadata in the MDS Repository, which is a set of Teradata tables using an Object Model Design. Provides a set of Utilities and APIs for metadata management, customization, and extensions. Metadata Integration Vendor Panel Page 43

44 NCR (Teradata) Steve Long (Product Manager, Meta Data Services) Metadata Interchange using Bridged Architecture Build bridges using APIs: Microsoft COM interface C++ programming XML Web Services metadata Excel metadata Modeling Tools Or acquire from: Teradata Partner metadata Query Tools metadata ETL tools metadata Other DBMS s Data Warehouse Metadata Repository metadata BI Tools metadata Applications metadata OLAP Tools Metadata Integration Vendor Panel Page 44

45 NCR (Teradata) Steve Long (Product Manager, Meta Data Services) The Big Picture Data Source 1 OLAP Data Source 2 Parallel ETL Utilities Data Warehouse BI Tools Data Source 3 CRM Schema, Lineage, Data Loc, etc. Lineage, Filtering, Transforms, etc. Schema, Stored Procs, Views, etc. Schema, Cube Def, Quants, etc. Metadata Repository Metadata Integration Vendor Panel Page 45

46 Oracle Warehouse Builder Joseph Zheng (Director, Software Development, OWB) Metadata Management Repository Platform A multi-user repository platform A secure repository platform An open repository platform Graphical Java UI and browser UI Relational views Complete scripting language (+ Java API) An extensible repository platform User defined objects User defined associations User defined properties Analytics Support Data Quality Process Flow Data Flow Dimensional Modeling Relational Modeling Metadata Services Repository Oracle Warehouse Builder Metadata Integration Vendor Panel Page 46

47 Oracle Warehouse Builder Joseph Zheng (Director, Software Development, OWB) Metadata Management - Metadata Services Dependency Management Data lineage Impact analysis Metadata Snapshots Change Management Diff Merge Synchronization Security (roles) Multi-language Support Reporting (browser) APIs (Scripting, SQL, PL/SQL) Exchange (import/export) Analytics Support Data Quality Process Flow Data Flow Dimensional Modeling Relational Modeling Metadata Services Repository Oracle Warehouse Builder Metadata Integration Vendor Panel Page 47

48 Oracle Warehouse Builder Joseph Zheng (Director, Software Development, OWB) Metadata Management - End-to-End Integration CWM Import Custom App Designer Relational & OLAP Catalogs 10g Scheduler, Workflow CWM Export File z ical ERP Warehouse Builder Database Legacy Discoverer BI Beans XPDL Metadata Integration Vendor Panel Page 48

49 SAS Liz McIntosh (Metadata Integration Technologies) Metadata Vision Support the enterprise s need to know Share intelligence assets across the enterprise Deliver the single version of the truth throughout the enterprise Metadata Integration Vendor Panel Page 49

50 SAS Liz McIntosh (Metadata Integration Technologies) Need to know Metadata Integration Vendor Panel Page 50

51 SAS Liz McIntosh (Metadata Integration Technologies) Need to share Metadata Integration Vendor Panel Page 51

52 SAS Liz McIntosh (Metadata Integration Technologies) Need for single version of the truth Metadata Integration Vendor Panel Page 52

53 Sybase Dave Dichmann (Product Manager, PowerDesigner) 60% of Projects Lead to Failure Industry analysts report that over 60% of projects in IT still lead to failure Metadata Management = Understanding Greater understanding creates: Greater standards and regulatory compliance Greater agility in IT manage change with speed AND accuracy IT effectiveness improves with automated alignment to business Today s IT Managers are tasked to be more responsible for business alignment we cannot just manage technology anymore Metadata Integration Vendor Panel Page 53

54 Sybase Dave Dichmann (Product Manager, PowerDesigner) Link And Synchronize Meta Data Metadata Integration Vendor Panel Page 54

55 Sybase Dave Dichmann (Product Manager, PowerDesigner) Complete Meta Data Management Impact Analysis Report On Dependencies And Downstream Dependencies Spans Multiple Models/Sets of Metadata (Cross-Functional Impact vs. Localized View) Requirements Management Spans Multiple Models/Sets of Metadata (Cross-Functional Requirements Management vs. Localized View) Reporting Multi-model Reporting For Single Source Documentation Spans entire Project or Enterprise Requires Complete Customization Enforce Standards and Practices Guaranteed Results from Standards and Practices Definitions Enhanced Meta Data Definitions Total Define & Describe Experience Tailored to Your Practices Metadata Integration Vendor Panel Page 55

56 Metadata Integration Vendor Panel Open Discussions, Question & Answers presented by Christian Bremeau Meta Integration, President, CEO Adaptive ASG CA Cognos Embarcadero IBM Informatica MetaMatrix Microsoft NCR Teradata Oracle SAS Sybase Geoff Sherwood Scott McCurdy Danny Sandwell Rachel Bland Greg Keller Nathan Bobbin Marc Bourget John Verhaeg Donald Farmer Steve Long Joseph Zheng Liz McIntosh Dave Dichmann Senior Consultant, Adaptive Repository Vice President, Rochade Product Manager, ERwin Product Manager, Metadata & Modeling Vice President, Product Management Product Manager, Metadata Services Product Manager, Metadata Services Principal Software Engineer Group Program Manager, SQL Server BI Product Manager, Meta Data Services Director, Software Development, OWB Metadata Integration Technologies Product Manager, PowerDesigner Metadata Integration Vendor Panel Page 56