Ensuring a Sustainable Architecture for Data Analytics You can’t pick up a magazine, read a blog, or hear a webcast without the mention of Big Data. It has had a profound effect on our traditional analytical architectures, our data management functions, and of course, the analytical outputs. Analytic environments must keep up with the latest technological advances and expanding business needs. In this paper, Claudia Imhoff, Ph.D., describes an analytical architecture that expands on the existing Enterprise Data Warehouse (EDW) to include new data sources, storage mechanisms, and data handling techniques needed to support both conventional sources of data and those supplying Big Data. She shares insights on the three analytical environments of an Extended Data Warehouse Architecture (XDW) including:
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