Best Practice Report

Purchasing The Building Blocks For Data Management

May 14th, 2013
With contributors:
Brian Hopkins , Gordon Barnett , Leslie Owens , Gene Leganza , Emily Jedinak , Lutz Peichert


Today's enterprise data architecture is changing to accommodate models and definitions that are frequently abstracted from data sources, federated sources, and data analytics performed during the integration and delivery process. Enterprise architecture (EA) professionals face a complex and growing array of options when coordinating data management investments. Desired technical capabilities no longer line up easily with a specific tool. For example, the traditional data management stack can be compressed with possibly one solution performing all data processes. Moreover, transformation, standards, definitions, analytics, and model capabilities are now available across any point in the data process. This dramatic shift in data-related technology requires EA professionals to focus their vendor tool selection process away from features and functions and toward a proof of capability (POC) aligned to the desired data system design.

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