YARN

Part 5 of Data Lake 3.0: YARN and Containerization: Supporting docker and beyond

  Thank you for reading our Data Lake 3.0 series! In part 1 of the series, we introduced what a Data Lake 3.0 is. In part 2 of the series, we talked about how a multi-colored YARN will play a…
Read more

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 of the enterprise stack is available under…
Read more

Cloudera Enterprise 5.1 Continues to Improve Security and Performance in Hadoop

CDH, Cloudera’s open source Hadoop platform, is a powerful tool designed to move your business forward. However, the power of the platform goes beyond massive storage, flexibility, and analytics. To truly benefit from the power of Hadoop, you need to…
Read more

Cisco and Cloudera Product Integration – Making it even Easier to Deploy and Manage Hadoop Clusters!

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 Cloudera Hadoop Reference Configuration is based on Cisco’s Big Data…
Read more

Our Commitment to Accelerating Apache Spark

When Cloudera became the first vendor to ship and support Apache Spark in February 2014, Spark was already well on its way toward becoming the framework of choice for faster batch processing, machine learning, advanced analytics, and stream processing. Today…
Read more

Cloudera to Release First Recursive Hadoop Stack

Cloudera to Release First Recursive Hadoop Stack Promises ease-of-use of MapReduce and speed of Hive! PALO ALTO, Calif., April 1, 2015: Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™, today announced the pending release of Spark-on-Hive-on-MapReduce-on-Spark-on-Oozie-on-HBase-on-Hive-on-Spark-on-Flume-on-HDFS-on-Impala-on-Spark-on-Hive-on-MapReduce-on-Spark-on-Oozie-on-HBase-on-Hive-on-Spark-on-Flume-on-HDFS-on-Impala-on-Spark-on-Hive-on-MapReduce-on-Spark-on-Oozie-on-HBase-on-Hive-on-Spark-on-Flume-on-HDFS-on-Impala-on-…, the…
Read more