Cloudera Engineering Blog · CDH Posts
Using this new tutorial alongside Cloudera Live is now the fastest, easiest, and most hands-on way to get started with Hadoop.
At Cloudera, developer enablement is one of our most important objectives. One only has to look at examples from history (Java or SQL, for example) to know that knowledge fuels the ecosystem. That objective is what drives initiatives such as our community forums, the Cloudera QuickStart VM, and this blog itself.
This overview will cover the basic tarball setup for your Mac.
If you’re an engineer building applications on CDH and becoming familiar with all the rich features for designing the next big solution, it becomes essential to have a native Mac OSX install. Sure, you may argue that your MBP with its four-core, hyper-threaded i7, SSD, 16GB of DDR3 memory are sufficient for spinning up a VM, and in most instances — such as using a VM for a quick demo — you’re right. However, when experimenting with a slightly heavier workload that is a bit more resource intensive, you’ll want to explore a native install.
The following post was written by Jay Vyas (@jayunit100) and originally published in the Gluster.org Community.
I have recently spent some time getting Cloudera’s CDH 5 distribution of Apache Hadoop to work on GlusterFS 3.3 using Distributed Replicated 2 Volumes. This is made possible by the fact that Apache Hadoop has a pluggable filesystem architecture that allows the computational components within the CDH 5 distribution to be configured to use alternative filesystems to HDFS. In this case, one can configure CDH 5 to use the Hadoop FileSystem plugin for GlusterFS (glusterfs-hadoop), which allows it to run on GlusterFS 3.3. I’ve provided a diagram below that illustrates the CDH 5 core processes and how they interact with GlusterFS.
The Apache Hadoop community has voted to release Apache Hadoop 2.5.0.
Apache Hadoop 2.5.0 is a minor release in the 2.x release line and includes some major features and improvements, including:
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 ;)