Today, 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. This paper 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.
Claudia Imhoff, Ph.D., is an internationally recognized expert on analytics, business intelligence, and the architectures to support these initiatives. Dr. Imhoff is also the Founder of the Boulder BI Brain Trust, a consortium of internationally-recognized independent analysts and experts.
Try ER/Studio Data Architect FREE for 14 days
Improve data quality, enhance data lineage, and create effective data models to build business-driven data architecture with ER/Studio Data Architect.