Get ready to build reliable and adaptable data integration systems, and to make the most of recent advances in data integration technologies by following the path of strategy first, architecture next, and then integration systems and technology.
You Will Learn
- The role, purpose, and issues of data integration strategy
- Frameworks and patterns for data integration architecture
- How to fit unstructured data into integration strategy, architecture, and systems
- How to use integration architecture and patterns to handle large volume data challenges
- How to apply architecture and patterns for enterprise, departmental, and local data
- How to select, mix-and-match, and apply several data integration methods including
ETL, federated, service-oriented, and virtualized - Techniques to collect and manage data integration requirements
- Tips and techniques for success throughout the data integration lifecycle-strategy, architecture, systems development, and operations
Geared To
- BI, MDM, and data warehousing program and project managers
- Data integration architects, designers, and developers
- Data and technology architects