Data warehouse augmentation, Part 4, Use big data technologies for initial data exploration

From the developerWorks archives

Shrikant Khupat and Atul Ahire

Date archived: May 15, 2019 | First published: July 01, 2014

The goal of the data warehouse is to use the data available in the enterprise and limited external data to yield business insight. In traditional settings, the volume of data is limited to a few terabytes, and the data is primarily operational and transactional in nature. Unstructured data is not available for analysis because of the limitations of the existing data warehouse. Consider by using big data technologies to incrementally augment with the existing data warehouse to gain better business insight from data that was previously unavailable for analysis.

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Zone=Data and analytics
ArticleTitle=Data warehouse augmentation, Part 4: Use big data technologies for initial data exploration