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Hadoop and the Data Warehouse: Hadoop 101 for Enterprise Data Professionals –...

Thank you for the phenomenal response to our recent webinar with Dr. Ralph Kimball: Hadoop and the Data Warehouse: Hadoop 101 for Enterprise Data Professionals. Many of you submitted chat questions...

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What Open Source Leadership Means for Customers

Users of Cloudera’s platform get all the expected benefits of open source. At the same time, they get others that only deep and wide community involvement can provide. Today, software for every layer...

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When Compliance Comes Calling, Cloudera Answers The Bell

You may have read today’s announcement about Cloudera’s acquisition of Gazzang, an Austin-based data security company and the leader in Hadoop encryption and key management. As a former Gazzanger, and...

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Cisco and Cloudera Product Integration – Making it even Easier to Deploy and...

Cloudera and Cisco have been long time partners with a certified reference architecture enabling enterprises to deploy a Cloudera enterprise data hub (EDH) solution along with Cisco UCS solutions. The...

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Apache Spark in the Apache Hadoop Ecosystem

At the recently concluded Spark Summit conference, Mike Olson spoke about the emergence of Apache Spark as a new standard for Hadoop data processing. As part of that, we announced an industry wide...

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Turn Your ‘Data Lake’ into an Enterprise Data Hub

Over just a few short years, Apache Hadoop has evolved from a batch processing framework, built on low cost storage and compute hardware, to an enterprise-ready data management platform able to handle...

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Introducing Kudu: The New Hadoop Storage Engine for Fast Analytics on Fast Data

Apache Hadoop has changed quite a bit since it was first developed ten years ago. A word that once only meant HDFS and MapReduce for storage and batch processing now can be used to describe an entire...

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Bringing Superior Analytic Performance and Security to Fast Data

Analytic database systems are the focus of an evolving conversation aimed at delivering highly performant analytic functionality over vast amounts of varying data types.  Not just structured or...

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Apache Hadoop at 20

A week or two ago, Doug Cutting wrote up a ten-year retrospective on Apache Hadoop for the project’s birthday. I enjoyed it. As co-creator of the project, Doug’s had a privileged seat from which to...

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Rethinking Data Marts in the Cloud

Published originally on O’Reilly.com Become more agile with business intelligence and data analytics.   Clouds (source: Pexels)   Check out Greg Rahn’s session, “Rethinking data marts in the cloud:...

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