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Hadoop still too slow for real-time analysis applications?
Hadoop vendors are trying to position the distributed processing technology as a real-time analytics tool. But some real-time roadblocks remain.

Hadoop cluster implementations take IT teams into uncharted waters
Hadoop confronts deployment teams with unfamiliar challenges, particularly with knowledge of its inner workings still elusive in many organizations.

Top five enterprise Hadoop stories of 2013
Here we revisit the little elephant that seeks a place alongside existing corporate data warehouses. A set of enterprise Hadoop stories tell the tale.

Top analytics technology stories from 2013
Some analytics technology trends continued this past year, despite the fact that users say they are overhyped or misunderstood.

Ancestry.com teams work together to use Hadoop framework for DNA app
A CTO sits data scientists and software engineers together to successfully employ the Hadoop framework for a DNA app that finds family tree limbs.

SAP: UK, US companies hit automation barrier with predictive analytics
Companies are hitting a wall in the use of predictive analytics, with lack of time and resource cited as their biggest problem

Featured Research Study

November 2012
Insights on the Run: Best Practices in Implementing Mobile BI
One way to make business intelligence more pervasive is to deliver it to business users instead of making them log in to a portal or dashboard. Mobile intelligence applications exploit the...
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September 2012
Business-Driven BI
In this research report, Wayne Eckerson, TechTarget’s Director of Research in Business Applications and Architecture Media Group, provides strategies and tips for self-service business intelligence.
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June 2012
Exploiting Big Data: Strategies for Integrating with Hadoop to Deliver Business Insights
In this research report, Wayne Eckerson describes the emerging big data ecosystem in which Hadoop and analytical databases play an increasingly important role.
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