TDWI Best Practices Report:
Integrating Hadoop into Business Intelligence and Data Warehousing

Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.

Date: Monday, Apr 01 2013


TDWI anticipates that Hadoop technologies will soon become a common and valuable complement to established products and practices for business intelligence (BI), data warehousing (DW), data integration (DI), and analytics. Therefore, a wide range of user organizations need to prepare for Hadoop usage. Although Hadoop can be valuable as an analytic silo, most organizations will prefer to get the most business value out of Hadoop by integrating it with—or into—their BI, DW, DI, and analytics technology stacks. This TDWI Best Practices Report takes a careful look at the benefits, barriers, and emerging best practices for integrating Hadoop into BI and DW.

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