Continuum Analytics Releases Anaconda for Cloudera
AUSTIN, Tex., Feb. 17 -- Continuum Analytics, the creator and driving force behind Anaconda, the leading modern open source analytics platform powered by Python, today announced the release of Anaconda for Cloudera. This new solution makes it easy to use Anaconda within a Cloudera-managed Hadoop cluster to power data science analytics.
Previously, Cloudera users had to manually install a complete Python data science stack on a Hadoop cluster and manage runtime dependencies themselves. With the Anaconda parcel, they now have a simple and compatible way to install Python on a Hadoop cluster. The Anaconda parcel enables users to easily build and run Python based solutions across a Cloudera cluster and alongside Spark jobs. Now, data scientists using Python and PySpark on a Hadoop cluster can exploit the full power of Anaconda analytic libraries to easily and effectively create powerful, high impact data science solutions.
“The recent certification of Anaconda with Cloudera Enterprise makes Python much more accessible to customers and allows data scientists to easily scale out their data science solutions and realize benefits faster,” said Tim Stevens, vice president of Corporate and Business Development at Cloudera.
Continuum worked closely with Cloudera to improve the process of using Python packages for data science and data analysis in a Hadoop cluster with Spark. The Anaconda parcel is installed via Cloudera Manager, which makes it easy to have the most popular open source Python packages available across a Hadoop cluster.
"Spark has clearly demonstrated that Python is one of the most important technologies in modern Open Data Science. Nearly half of all Spark users are using Python for their data science needs - including data exploration and predictive modeling - in their Hadoop cluster," said Peter Wang, Continuum CTO and co-founder. "We’re excited about the low level technology advancements in Hadoop, such as Parquet, as well as the pioneering advancements by Cloudera on Impala and Kudu. These advancements have set the foundation for our next generation Hadoop innovations, which extend Python from an interface for data science on Hadoop to a full-fledged native analytic computational platform for Hadoop."
About Cloudera
Cloudera delivers the modern data management and analytics platform built on Apache Hadoop and the latest open source technologies. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera Enterprise, the fastest, easiest and most secure data platform available for the modern world. Our customers efficiently capture, store, process and analyze vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly, flexibly and at lower cost than has been possible before. To ensure our customers are successful, we offer comprehensive support, training and professional services. Learn more at http://cloudera.com.
About Continuum Analytics
Continuum Analytics is the creator and driving force behind Anaconda, the leading, modern open source analytics platform powered by Python. We put superpowers into the hands of people who are changing the world.
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Source: Continuum Analytics
