Where Hadoop Fits in Your Data Warehouse Architecture
Integrating Hadoop into mainstream BI and DW practices
The first step toward successful integration of Hadoop with established platforms for BI, DW, data integration (DI), and analytics is to determine where Hadoop fits in your data warehouse architecture. Hadoop is a family of products, each with multiple capabilities, so there are multiple areas in data warehouse architectures where Hadoop products can contribute. At the moment, Hadoop seems most compelling as a data platform for capturing and storing big data within an extended DW environment, plus processing that data for analytic purposes on other platforms.
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
About the Author
Philip Russom is director of TDWI Research for data management and oversees many of TDWI’s research-oriented publications, services, and events. He is a well-known figure in data warehousing and business intelligence, having published over 500 research reports, magazine articles, opinion columns, speeches, Webinars, and more. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research and Giga Information Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. Before that, Russom worked in technical and marketing positions for various database vendors. You can reach him at email@example.com, @prussom on Twitter, and on LinkedIn at linkedin.com/in/philiprussom.