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New BI demands pushing data architecture limits
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.
Features in this issue
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.
What constitutes data quality when analyzing millions of daily transactions? Does trustworthy data mean “perfect” data? You might be surprised at the answers.
News in this issue
Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases.