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magnific training course for Cloudera Hadoop provides a comprehensive knowledge of technologies, architecture, administration, deployment and development in Hadoop cluster. Specifically, we will cover different Hadoop services, configurations, best practices, and lab in which attendees can practice different components (HDFS, MapReduce, Pig, Hive and HBase) of Hadoop.
Visit: www.hadooponlinetraining.net
Cloudera Hadoop Training completes the three day training course and teaches advanced skills for debugging MapReduce programs and optimizing their performance.
Module: Debugging MapReduce programs
Debugging in the distributed environment is challenging. This lecture will expose you to best practices for program design to mitigate debugging challenges, as well as local testing tools and techniques for debugging at scale.
Module: Advanced Hadoop API
In the basic training session, you learned how to get up and running writing Hadoop MapReduce programs in Java. This lecture probes deeper into the API, covering custom data types and file formats, direct HDFS access, intermediate data partitioning, and other tools such as the DistributedCache.
Module: Advanced Algorithms
This lecture introduces some graph algorithms that can be adapted for your needs, as well as more involved examples like PageRank. We'll also look at strategies for implementing joins efficiently, and compare different techniques that are appropriate to different data models.
Exercise: Optimizing MapReduce Programs
We'll use the Training VM to work through an example where you write a MapReduce program and improve its performance using techniques explored earlier.
You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.
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