 | 04 Dec 2008 Learn how IBM® solutions can help discover new enterprise
information sources and content as well as improve the quality of its
information. IBM solutions foster enterprise collaboration specifically
between IT and business leaders by allowing companies to define and model
common vocabulary and governance requirements across the enterprise. The
powerful semantic models can be translated into physical information
structures. Arm yourself with the latest solutions from IBM to jumpstart
enterprise consistency, drive quality, and unlock the mystery of your data
sources.
In this kit
developerWorks tutorials
- Data Web Services on Web Sphere Application Server, Part 3: Leverage
DB2 trusted context support using Data Studio
- Manage data privacy from design to development
- Use the IBM Information Server to transform legacy data into
information services
- IBM Data Studio Data Web Services, Part 1: Get started with Data Web
Services
developerWorks articles
- Extend Rational Data Architect to meet your data modeling and
integration requirements, Part 1: Modifying RDA models and customizing
properties
- Extend Rational Data Architect to meet your data modeling and
integration requirements, Part 2: Build customized reports and
validation rules using RDA
- Data Studio Administrator, Part 1: Integrating Data Studio Administrator and Rational Data Architect
- The information perspective of SOA design, Part 1: Introduction to the information perspective of a Service Oriented Architecture
- The information perspective of SOA design, Part 2: The value of applying the business glossary pattern in SOA
- The information perspective of SOA design, Part 3: The value and use of IBM WebSphere Business Glossary in SOA
- The information perspective of SOA design, Part 4: The value of applying the canonical modeling pattern in SOA
- The information perspective of SOA design, Part 5: The value and use of Rational Data Architect in SOA
- The information perspective of SOA design, Part 6: The value of applying the data quality analysis pattern in SOA
- The information perspective of SOA design, Part 7: The execution approach for the data quality analysis pattern in SOA
- The information perspective of SOA Design, Part 8: Use of IBM WebSphere Information Analyzer in SOA Design
- Use Rational Data Architect to model Oracle databases
- An introduction to architecture management
- Understanding architectural assets
- Shrink your DB2 for Linux, UNIX, and Windows database using value compression
- XQuery update: Use cases in the healthcare, business, financial, and IT industries
- An introduction to the Master Data Management Reference Architecture
- Understand MDM Security, Part 1: Overview of Master Data Management Server security
- IBM Industry Models and ILOG business rules management systems, Part 1: Define business rules using IBM Industry Models
- Analysis and design of business rules using IBM Industry Models, Part 2: Incorporate a business rules management system
- Faceted navigation for document discovery: Using metadata for better search
Webcasts
- Grady Booch on Architecture
- Improve data security with Rational Data Architect V7.5
- Teleconference: Managing Solution Architectures with RSA,
RequisitePro, and RAM
- Fast Track your information architecture with IBM Information Server FastTrack
Podcasts
- Holly Hayes on model-driven data governance
- Managing Solution Architectures
- Paula Fricker on getting the most out of your data
Demos
- Apply patterns to classes using IBM Rational Software Modeler
- Business Glossary Anywhere Demonstration
- Business Glossary and Metadata Workbench Demonstration with Cognos
White papers
- The value of modeling
- IBM InfoSphere Information Server: Simplify integration with unified metadata
- The Business Value of a Business Glossary
- Accelerating an information agenda with IBM InfoSphere Foundation Tools
- IBM InfoSphere FastTrack: The need for speed - accelerating data integration projects
- Using metadata to enable data governance
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