Cloudera Accelerates Data Science Workloads for Apache Hadoop

PALO ALTO, Calif., Feb. 17, 2016 — Cloudera, the global provider of the fastest, easiest, and most secure data management and analytics platform built on Apache Hadoop and the latest open source technologies, today announced new advancements to further Hadoop as a mainstream platform for data science. Building on recent announcements around Apache Spark and Python that better enable data engineering and data science workloads across big data, Cloudera and Continuum Analytics are making it easier to work with the Python ecosystem through seamless integration of the Anaconda platform with Hadoop. In addition, Cloudera, together with the open source community, announced Apache Arrow, a new open source in-memory columnar data format, to support interoperability and improved performance of Python in the Hadoop ecosystem. These efforts will help data scientists to…

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