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The two biggest big data mistakes companies make

Many organizations are setting their big data analytics efforts up for failure by plunging ahead without proper planning upfront, says book author Keith B. Carter.


Analytics pros can't get enough open source

All the excitement of analytics professionals today is attached to open source tools. Author Cory Isaacson explains why.


Analytics helps USTA bring tennis into 21st century

Tennis is all about tradition, but the USTA is slowly embracing analytics technology, enabling it to modernize its operations.


Bank IT pro offers advice on Agile BI development

Ryan Fenner of MUFG Union Bank discusses his experiences with Agile BI processes and the potential benefits organizations can get from Agile methods.

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    Is it time to sharpen your analytics skills?

    Regardless of what industry you work in, you are likely to be left behind if you lack basic analytical skills. Taking a proactive approach may end up saving you time -- and a hassle – further down the line.

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    Enterprise Hadoop: Ready for prime time?

    Many vendors are pitching Hadoop as the foundation for enterprise data management environments that delivers information and insights to business users and serves as a hub for other data systems and applications. In the era of big data, the case for...

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    Apache Spark

    Apache Spark is an open-source parallel processing framework that enables users to run large-scale data analytics applications across clustered systems.

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