New BI demands pushing data architecture limits

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New BI demands pushing data architecture limits

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BI Trends + Strategies - Issue 3 March 2012

In the third issue of BI Trends & Strategies, learn from BeyeNETWORK experts William McKnight and David Loshin how to create a time-proof information management infrastructure, as well as five steps you can take to improve the quality of analytical data. Also learn about connectors for moving data between relational databases and Hadoop clusters. Access >>>

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What's Inside

Features

- New BI demands pushing data architecture limits by William McKnight, President at McKnight Consulting Group
  Big data and operational BI place new demands on information architectures. What worked in the past may not be the best choice for the advanced analytics that are poised to provide substantial business value.
- Reliable BI data requires collaborative approach by David Loshin, President, Knowledge Integrity, Inc.
  What constitutes data quality when analyzing millions of daily transactions? Does trustworthy data mean “perfect” data? You might be surprised at the answers.

News
- Hadoop connector software hitches DBs to 'big data' clusters by Mark Brunelli, Senior News Editor
  Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases.

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