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datacenter1

Data-warehouse providers are quickly adding Hadoop distributions, or even their own versions of Hadoop, into their architecture, adding further cost advantages to collections of extremely large data sets. Finding the talent to manage this newly converged environment will not be easy, but it presents tremendous opportunity for companies willing to take some risk. Read more at GigaOM Pro »

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In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated query capabilities into database management system (DBMS) engines.For some use cases, there appears to be room for a third approach that lies between the extremes and borrows from the best of each. Read more at GigaOM Pro »

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clock prime time

Accurate timing has grown more important in distributed systems, not just for mobile networks, but also for tracking data between data centers. Our love of digital junk is pushing storage to the edge. Read more »

Doing Hadoop-powered BI with Platfora

Platfora, the San Mateo, Calif.-based startup that helped spur a general rethinking of business intelligence for a big data world, is finally exiting its beta period and is generally available. It’s no wonder the company has garnered so much attention given its stated mission to make […] Read more »

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Companies are rushing to embrace the promise of big data to understand both their businesses and the ways in which customers interact with them. But effective data-based decisions are not made in response to simplistic data reporting; they are made in response to considered and ongoing data analysis. Read more at GigaOM Pro »

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