For Information & Knowledge Management Professionals (Length: 15 pages)July 23, 2007 Data, Data Everywhere!Very Large Database Issues And Implications For Business Intelligencewith Erica Driver, Noel Yuhanna, Rob Karel, J. Paul Kirby, Jamie Barnett Executive Summary (This is a document excerpt)The information revolution is producing mountains of digital data that are becoming more and more challenging to process and analyze. Not only are businesses generating more data every day, but our approach to data analysis (structured databases, indexes, and distributed data architectures) generates even more data. Furthermore, the volume of unstructured content is also increasing, adding to the proliferation. To help organizations get business value out of all this data, vendors — both platform vendors and business intelligence (BI) specialists — are offering multiple technology and architecture solutions for very large database (VLDB) BI. Understanding that BI for multiterabyte data sets may require different architectures and technologies than smaller data sets is key for successful VLDB BI implementations. Information and knowledge management professionals should implement the most appropriate VLDB BI option and plan for continued explosive data growth. Buy Risk-FreeDownload and print PDF immediately. Price: US $279 Our Money-Back Guarantee: If you are not completely satisfied, return it for a full refund within three weeks of your online purchase. Already a Forrester Client?
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The Forrester Wave™: Enterprise Business Intelligence Platforms, Q3 2008
Original air date: Thursday, August 28, 2008
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