Home > Hadoop, MapReduce > Making Hadoop and MapReduce easier with Karmasphere

Making Hadoop and MapReduce easier with Karmasphere

For those folks either just getting started or even already in the the daily trenches of M/R development every day Karmasphere has come about to help developers and technical professionals make Hadoop MapReduce easier http://www.karmasphere.com/. Karmasphere Studio is a desktop IDE for graphically prototyping MapReduce jobs and deploying, monitoring and debugging them on Hadoop clusters in private and public clouds.

* Runs on Linux, Apple Mac OS and Windows.
* Works with all major distributions and versions of Hadoop including Apache, Yahoo! and Cloudera.
* Works with Amazon Elastic MapReduce.
* Supports local, networked, HDFS and Amazon S3 file systems.
* Support for Cascading
* Enables job submission from all major platforms including Windows.
* Operates with clusters and file systems behind firewalls.

So, what can you do with it?

  • Prototype on the desktop: Get going with MapReduce job development quickly. No need for a cluster since Hadoop emulation is included.
  • Deploy to a private or cloud-based cluster: Whether you’re using a cluster in your own network or a cloud, deploy your job/s easily.
  • Debug on the cluster: One of the most challenging areas in MapReduce programming is debugging your job on the cluster. Visual tools deliver real-time insight into your job, including support for viewing and charting Hadoop job and task counters.
  • Graphically visualize and manipulate: Whether it’s clusters, file systems, job configuration, counters, log files or other debugging information, save time and get better insight by accessing it all in one place.
  • Monitor and analyze your jobs in real-time: Get realtime, workflow view of inputs, outputs and intermediate results including map, partition, sort and reduce phases.

Whether you’re new to Hadoop and want to easily explore MapReduce programming or you like the sound of something that helps you prototype, deploy and manage in an integrated environment or you’re already using Hadoop but could use a lot more insight into your jobs running on a cluster, there’s something here for you.

All you need is NetBeans (version 6.7 or 6.8) and Java 1.6 and you’ll be ready to give Karmasphere Studio a whirl.

You do NOT need any kind of Hadoop cluster set up to begin prototyping. But when you are ready to deploy your job on a large data set, you’ll need a virtual or real cluster in your data center or a public cloud such as Amazon Web Services.

An Eclipse version is in progress.

/*
Joe Stein
http://www.linkedin.com/in/charmalloc
*/

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Categories: Hadoop, MapReduce
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