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5 Open Source Tools You Should Learn to Boost Your Data Career

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hadby Angela Guess

Sam Dean recently wrote in Linux, “A decade ago, Red Hat CEO Jim Whitehurst predicted that open source tools and platforms would become pervasive in IT. Fast-forward to today, and that prediction has come true, with profound implications for the employment market… In particular, open source cloud, Big Data and networking platforms have flourished and the job market now places a premium on workers skilled in these areas. According to The Linux Foundation’s 2016 Open Source Jobs Report, 51 percent of surveyed hiring managers say knowledge of OpenStack and CloudStack has a big impact on open source hiring decisions, followed by networking (21 percent), security experience (14 percent), and container skills (8 percent).”

The first open source tool on Dean’s list is Hadoop: “When talk turns to job market opportunities these days, hardly any technology trend is drawing more attention than Big Data. In fact, Cloudera reports that 65 percent of the current Fortune 100 is using big data to drive their business. Hadoop is one of the most storied platforms in the Big Data space, allowing organizations to draw insights from huge datasets.”

Next up, Apache Spark: “Folks are becoming increasingly interested in Apache Spark, an open source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark is not only central to how many organizations are working with their data stores, but it is poised to play a big role in processing the data generated by the Internet of Things (IoT). Meanwhile, IBM has announced a major commitment to Apache Spark, billing it as ‘potentially the most important new open source project in a decade that is being defined by data’.”

Read more here.

Photo credit: Hadoop

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