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Cloudera Announces Trio of Machine Learning Product Updates for Enterprises

Cloudera today announced several product updates focused on improving enterprise machine learning capabilities for what the company is describing as faster, more secure access to high-performance computing, both across public clouds and with on-premises data.

The three announcements it made today are:

According to the company, Cloudera Data Science Workbench 1.4 will offer data scientists improvements like better experiment management, the ability to "deploy models as REST APIs with a single click" and "deploy models to production on a common, secure platform that runs anywhere."

The company also announced the availability of Cloudera Altus, its machine learning and analytics platform, on Microsoft Azure. "Cloudera Altus offers Data Engineering for Azure, which simplifies and speeds ETL (extract, transform, load), data processing, and batch machine learning by reducing complexity, enabling engineers and developers to deliver more diverse data to data scientists, analytics teams, and downstream data products," Cloudera commented in a statement announcing the release.

"Furthermore, by leveraging Altus SDX, the same data and catalog are accessible for analysts, data scientists, data engineers, and others using the tools they prefer -- SQL, Python, R -- all without any data movement," it continued. A free 30-day trial of Cloudera Altus is available here.

Finally, the company announced the beta launch of its flagship Cloudera Enterprise 6.0 update.

"The latest release is Cloudera's most powerful platform for mission-critical machine learning and analytics applications, capable of running on-premises, in the cloud, or wherever the data resides," it said of the product. "Release 6.0 also introduces GPU support in the cluster and Hive optimizations to significantly accelerate machine learning and data engineering applications as compared to the previous release."

Interested enterprises can sign up for the beta program for 6.0 here.

About the Author

Becky Nagel is the vice president of Web & Digital Strategy for 1105's Enterprise Computing and Education Groups, where she oversees the front-end Web team and deals with all aspects of digital strategy for the groups. She also serves as executive editor the ECG Web sites, and you'll even find her byline on PureAI.com, the ECG group's newest site for enterprise developers working with AI. She recently gave a talk at a leading technical publishers conference about how changes in Web technology may impact publishers' bottom lines. Follow her on twitter @beckynagel.

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