At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem ...

Back in the early 1990s, you would sometimes hear this gag: “Two major products that came out of Berkeley: LSD and UNIX. We don’t believe this to be a coincidence.” Although wildly inaccurate, this ...

Microsoft quietly made available this week a new family of R Server data-analytics products. Thanks to a tweet from Tero Alhonen, I found listings on MSDN for a family of new Microsoft R Server ...

VoltDB has made a name for itself by building a fast in-memory distributed relational database that processes transactions and does some real-time analytics too. With today’s launch of VoltDB version ...

Last year, data visualization company Adatao — spearheaded by the former engineering director of Google Apps — announced its Data Intelligence Platform, a tool set for querying Hadoop data that’s ...

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...

Wayne State University in Michigan has implemented a big data analytics system to improve its reporting system for student data and finances. Previously, when staff wanted to create a new report, they ...

If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.

The Internet of Things (IoT) is simultaneously a colossal data management challenge and the analytic opportunity of a lifetime. Teradata (NYSE: TDC) addressed both of those today with two product ...

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