The Winning Composition of a Big Data Architect
A brief interview from Hortonworks about big data architects and how to sell yourself as a rock star.
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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 GlobalBigDataConference.com.
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
Published at DZone with permission of Timothy Spann, DZone MVB. See the original article here.
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