Cloudera Manager 4.0 Beta released by Aparna Ramani
From the post:
We’re happy to announce the Beta release of Cloudera Manager 4.0.
This version of Cloudera Manager includes support for CDH4 Beta2 and several new features for both the Free edition and the Enterprise edition.
This is the last beta before the GA release.
The details are:
I’m pleased to inform our users and customers that we have released the Cloudera’s Distribution Including Apache Hadoop version 4 (CDH4) 2nd and final beta today. We received great feedback from the community from the first beta and this release incorporates that feedback as well as a number of new enhancements.
CDH4 has a great many enhancements compared to CDH3.
- Availability – a high availability namenode, better job isolation, improved hard disk failure handling, and multi-version support
- Utilization – multiple namespaces and a slot-less resource management model
- Performance – improvements in HBase, HDFS, MapReduce, Flume and compression performance
- Usability – broader BI support, expanded API options, a more responsive Hue with broader browser support
- Extensibility – HBase co-processors enable developers to create new kinds of real-time big data applications, the new MapReduce resource management model enables developers to run new data processing paradigms on the same cluster resources and storage
- Security – HBase table & column level security and Zookeeper authentication support
Some items of note about this beta:
This is the second (and final) beta for CDH4, and this version has all of the major component changes that we’ve planned to incorporate before the platform goes GA. The second beta:
- Incorporates the Apache Flume, Hue, Apache Oozie and Apache Whirr components that did not make the first beta
- Broadens the platform support back out to our normal release matrix of Red Hat, CentOS, SUSE, Ubuntu and Debian
- Standardizes our release matrix of supported databases to include MySQL, PostgresSQL and Oracle
- Includes a number of improvements to existing components like adding auto-failover support to HDFS’s high availability feature and adding multi-homing support to HDFS and MapReduce
- Incorporates a number of fixes that were identified during the first beta period like removing a HBase performance regression
Not as romantic as your subject analysis activities but someone has to manage the systems that implement your analysis!
Not to mention skills here making you more attractive in any big data context.