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May 09, 2016
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The Winning Composition of a Big Data Architect

After years of experience with the entire Hadoop stack, Hortonworks solutions engineer Paul Hargis became interested in the math and statistics behind machine learning. He has since morphed into a Big Data Architect Extraordinaire and Spark Subject Matter Expert. In a recent interview, Paul shared his background and unique insights around Hadoop, Spark and Machine Learning with

In this brief-but-packed-with-insight interview, Paul discusses the role of architects in bringing transformational value to business and how to become a Big Data rockstar (hint: “Anyone with the passion to become a data scientist who puts the time in to learn the skills can become one.”). He discusses his experience with Spark and Hadoop, upcoming industry trends, the top 5 big data implementation mistakes to avoid, and who should take up the Big Data Architect role in the face of massive talent shortages. He also gives a preview of what to expect from his upcoming workshop, Machine Learning with Spark at The Dallas Big Data Conference, May 13-15, 2016.

The complete interview is available here:  Interview with Speaker Paul Hargis, Solutions Engineer at Dallas Big Data Bootcamp

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