Kalyan Hadoop Training in Hyderabad @ ORIEN IT, Ameerpet, 040 65142345 , 9703202345

Already 10000+ students are trained in ORIENIT under Mr.Kalyan, Cloudera CCA175 Certified Consultant, Apache Contributor, 18+ years of IT exp, IIT Kharagpur, Gold Medalist

Pages

▼

Showing posts with label MapReduce. Show all posts

Showing posts with label MapReduce. Show all posts

Monday, 4 January 2016

Running a sample Pi example

To run any application on top of YARN, you need to follow this Java command syntax: $ yarn jar <application_jar.jar> <arg0> ...

Running sample examples on YARN

Running the available sample MapReduce programs is a simple task with YARN. The Hadoop version ships with some basic MapReduce examples. ...

Source compatibility of org.apache.hadoop.mapred APIs

Source incompatibility means that some code changes are required for compilation. Source incompatibility is orthogonal to binary compatib...

Old and new MapReduce APIs

The new API (which is also known as Context Objects) was primarily designed to make the API easier to evolve in the future and is type inco...

Tuesday, 21 October 2014

Hadoop MapReduce -- A Java vs Pig Example

In a recent post, I used Pig to analyze some MBS (mortgage-backed security) new-issue pool data from Fannie Mae. At the time, I noted a nu...

Snappy compression with Pig and native MapReduce

Assuming you have installed Hadoop on your cluster, if not please follow http://code.google.com/p/hadoop-snappy/ This is the machine con...

View web version

Powered by Blogger.