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Pentaho Labs Extends Open Source Innovation with New Docker Utilities

Pentaho, a Hitachi Group Company, today announced a Pentaho Labs collaborative effort resulting in Docker open source utilities to help simplify and speed big data analytics. Through the Pentaho Server, developers and data scientists can now work with the containerized open source platform to quickly build, ship, and run big data analytics at scale.

As the complexity of application deployments increase, developers must work rapidly to add new software components and expand their software footprint. Due to this, many developers are shifting away from traditional installation methods for more automated and scriptable approaches. New Docker open source utilities complement what developers are already doing by providing a way to unlock the power of analytics within containers to reduce testing and development time, automate the setup and configuration of a given environment and have more control over their big data deployments.

"The open source foundation of Pentaho allows quick innovation with emerging technologies, so that we may remain autonomous and provide flexibility to developers when it comes to adapting Pentaho solutions into their development and test environments," said Ken Wood, Vice President of Pentaho Labs, Pentaho, a Hitachi Group Company. "Developers can leverage a scalable testing and development environment to push boundaries in the areas such as IoT, machine learning and predictive analytics."

Pentaho's ability to innovate at scale with open source means customers can easily future-proof investments and evolve their infrastructure architecture as container technologies mature in the enterprise. The Docker containers generated through open source utilities are a great example of how developers can use a portable, live environment for data to be clustered, analyzed and tested using a "build once and run anywhere" approach to solution development.

"While Docker containers by themselves are not designed to be persistent, the interest in containerization is such that we are already seeing enterprises investigating the potential to run data-intensive workloads in container environments," said Matt Aslett, Research Director, Data Platforms and Analytics, 451 Research. "Containers are perfect for enterprise applications that require flexibility and portability. As organizations continue to expand on their development and deployment environments, vendors that are quick to adapt and support data-intensive workloads on containers will get a head start on the competition."

Availability
Pentaho's Docker utilities are currently available in GitHub. Learn more about the innovation coming out of Pentaho Labs.

Published Tuesday, June 21, 2016 10:11 AM by David Marshall
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