Cloudera Engineering Blog · CDH Posts
Applications using HDFS, such as Impala, will be able to read data up to 59x faster thanks to this new feature.
Server memory capacity and bandwidth have increased dramatically over the last few years. Beefier servers make in-memory computation quite attractive, since a lot of interesting data sets can fit into cluster memory, and memory is orders of magnitude faster than disk.
An improved Search app in Hue 3.6 makes the Hadoop user experience even better.
Hue 3.6 (now packaged in CDH 5.1) has brought the second version of the Search App up to even higher standards. The user experience has been greatly improved, as the app now provides a very easy way to build custom dashboards and visualizations.
Spark 1.0 reflects a lot of hard work from a very diverse community.
Cloudera’s latest platform release, CDH 5.1, includes Apache Spark 1.0, a milestone release for the Spark project that locks down APIs for Spark’s core functionality. The release reflects the work of hundreds of contributors (including our own Diana Carroll, Mark Grover, Ted Malaska, Colin McCabe, Sean Owen, Hari Shreedharan, Marcelo Vanzin, and me).
Cloudera Search now supports fine-grain access control via document-level security provided by Apache Sentry.
In my previous blog post, you learned about index-level security in Apache Sentry (incubating) and Cloudera Search. Although index-level security is effective when the access control requirements for documents in a collection are homogenous, often administrators want to restrict access to certain subsets of documents in a collection.
Cloudera Enterprise’s newest release contains important new security and performance features, and offers support for the latest innovations in the open source platform.
We’re pleased to announce the release of Cloudera Enterprise 5.1 (comprising CDH 5.1, Cloudera Manager 5.1, and Cloudera Navigator 2.0).
It’s been a while since we provided a how-to for this purpose. Thanks, Daan Debie (@DaanDebie), for allowing us to re-publish the instructions below (for CDH 5)!
I recently started as a Big Data Engineer at The New Motion. While researching our best options for running an Apache Hadoop cluster, I wanted to try out some of the features available in the newest version of Cloudera’s Hadoop distribution: CDH 5. Of course I could’ve downloaded the QuickStart VM, but I rather wanted to run a virtual cluster, making use of the 16GB of RAM my shiny new 15″ Retina Macbook Pro has ;)
More than 300 bug fixes and stable features in Apache Hive 0.13 have already been backported into CDH 5.0.0.
Last week, the Hive community voted to release Hive 0.13. We’re excited about the continued efforts and progress in the project and the latest release — congratulations to all contributors involved!
Get started with Apache Hadoop and use-case examples online in just seconds.
Today, we announced Cloudera Live, a new online service for developers and analysts (currently in public beta) that makes it easy to learn, explore, and try out CDH, Cloudera’s open source software distribution containing Apache Hadoop and related projects. No downloads, no installations, no waiting — just point-and-play!
Getting started with Spark (now shipping inside CDH 5) is easy using this simple example.
(Editor’s note – this post has been updated to reflect CDH 5.1/Spark 1.0)
The community has voted to release Apache Hadoop 2.4.0.
Hadoop 2.4.0 includes myriad improvements to HDFS and MapReduce, including (but not limited to):