The Leading Enterprise Python Distribution for Data Analytics Is Moving to the Hadoop and Spark Infrastructures

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Continuum Analytics Launching Anaconda Cluster to Take the Python Ecosystem into Hadoop and Spark

Continuum Analytics, the premier provider of Python-based data analytics solutions and services, today announced the release of Anaconda Cluster. Continuum’s enterprise Python distribution for data analytics, Anaconda Server, is moving to the Hadoop and Spark infrastructures. Anaconda Cluster is a highly-scalable cluster resource management tool that lets data scientists streamline deployment without rework.

“We would love to pass off clustering to the engineering and IT team, but we are the only ones that know how to manage it right now.” - A Hadoop/Python user in response to the pain points that Anaconda Cluster addresses

The field of data science has significantly grown in response to an emphasis on big data across several industries. Many organizations are discovering that their existing search and analysis techniques are not adequate to keep up. For many enterprise level data scientists, the answer has been Hadoop clusters. These clusters distribute the data analysis workload across multiple cluster nodes that work to process the data in parallel. However, there is a significant learning curve associated with building, operating and supporting a Hadoop cluster. To alleviate this issue, Anaconda Cluster closes the gap between the latest methods and the IT infrastructure.

"We're closing the gap between innovation and IT," says Continuum's Chief Science Officer, Andy Terrel. "We want to make it less of an IT process to get updates on a cluster. By using and creating Anaconda cluster, you cut this time significantly and it helps with reproducibility."

For more information visit the Anaconda Cluster webpage at http://continuum.io/anaconda-cluster or email sales(at)continuum(dot)io

About Continuum Analytics
Continuum's Python-based data analytics products and consulting services empower organizations to analyze, manage and visualize big data - turning massive datasets into actionable insights and business value. Built on proven, open-source offerings and easily integrated within existing IT environments, Continuum's tools allow organizations to make critical business decisions based on their data quickly, easily, inexpensively, and with flexibility. Without having to worry about how to access their data, organizations can free up resources to solve actual domain and business problems. To learn more about Continuum's services, training and product offerings, visit http://www.continuum.io.

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Ashley Baal
@ContinuumIO
since: 10/2011
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Continuum Analytics, Anaconda Cluster, Hadoop, Spark, Clusters, Data Science