Data Management Strategies for the CIO
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Lead story
New BI stack tackles data load at Children's Hospital
Boston Children's Hospital upgraded its business intelligence architecture to boost enterprise reporting, a move that also required retraining users.
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More top stories
Five steps to improvements in data quality
Consultant David Loshin offers tips on developing a data quality strategy that can help identify data errors before they cause big business problems.
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Jim Goodnight on in-memory analytics, data scientists
A podcast Q&A with SAS execs Jim Goodnight and Jim Davis looks at big data enablers, including in-memory analytics, and the role of data scientists.
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How to avoid data warehouse performance killers
In a podcast Q&A, consultant William McKnight offers advice on steering clear of common hazards that can puncture the performance of data warehouses.
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BI University: 'Meeting the Need for DW Speed'
In this classroom, data warehouse managers and other IT professionals will find advice and insight on how to build high-performance data warehousin...
Email Alerts
Big data management issues
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Big data leads IT to use richer data management palette
All the big data buzz belies a potent trend that sees lower-cost hardware and massive Web applications driving more diversity in database engines.
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Talking Data
Higher enterprise use will drive new Hadoop features
With user interest rising, Hadoop vendors are trying to pave a path to higher adoption with add-ons that target issues holding the technology back.
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Analysis/Wayne Eckerson
Real-time querying in Hadoop? Not so fast
Hadoop vendors are adding real-time query engines to the open source software. But the jury is out on that effort, writes Wayne Eckerson.
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FEATURED TIP
Intel offers up a 'silver bullet' master data management strategy
Find out how Intel enacted its MDM project plan; learn the four simple steps they say are behind the success of their internal MDM strategy.
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NEWS ANALYSIS
Data errors, other missteps can waylay BI data integration strategy
Discover why analysts say data integration is critical to effective business intelligence (BI) processes and how a BI data integration strategy can easily go off track if not carefully planned and implemented.
