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This article is part of the Issue 3 March 2012 issue of New BI demands pushing data architecture limits
We all know change is constant in IT. But when we are responding to demands to extract value from new forms of the most important asset in modern competitive business— information—and are busily managing the resulting increased data volumes, change is both constant and fast-paced. Don’t get left behind: With “big data” increasingly taking hold, the five-year future is going to bring major transformations in the way that information systems are built to support business intelligence (BI) and analytics applications. It’s going to be more about the net additive effect of new possibilities than about dismantling current technology investments. It’s going to be about seriously using information for BI and analytics through the exploitation of all possible data, including data that is larger than anything you’ve experienced to date, providing less value “per byte” and requiring new data management methods. It’s going to be about exploiting information sooner in its lifecycle— as soon as possible. Maturity in business intelligence is correlated to maturity and ... Access >>>
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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.
- New BI demands pushing data architecture limits by William McKnight, President at McKnight Consulting Group
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.
- Reliable BI data requires collaborative approach by David Loshin, President, Knowledge Integrity Inc.
Hadoop connector software hitches DBs to 'big data' clusters
by Mark Brunelli, News Director
Various software vendors have begun offering connectors designed to help users bridge the gap between Hadoop clusters and relational databases.
- Hadoop connector software hitches DBs to 'big data' clusters by Mark Brunelli, News Director
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