Today’s business managers depend heavily on data analysis and decision-speed information, raising the stakes for data integration. At the same time, the work of integrating data has become increasingly complex. The simple processes of extract, transform, and load (ETL) integration for structured enterprise data no longer meet the need. Unstructured data, big data, departmental data, end-user data, and external data all challenge old models for data integration. Meeting modern data integration challenges calls for data integration strategy and architecture.
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.
BI, MDM, and data warehousing program and project managers; data integration architects, designers, and developers; data and technology architects.
Module 1 - Data Integration Strategy
Module 2 - Data Integration Architecture
Module 3 - Creating Data Integration Architecture
Module 4 - Using Data Integration Architecture