Friday 18 October 2013

Hadoop training tutorial | magnific training

Big Data and Hadoop classroom training is for people who are willing to attend classroom sessions delivered by a highly experienced instructor. Big Data is a collection of large and complex data sets that cannot be handled by regular tools. Big Data training educates one on handling such huge databases. On the other hand, Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Simplilearn is conducting Big Data and Hadoop classroom training coupled with e-learning access and hard-copy of courseware for better understanding. We also offer PDUs to candidates at the end of Big Data and Hadoop certification training.

Visit : http://www.magnifictraining.com/


Hadoop Online Training Concepts :
HADOOP BASICS
1.The Motivation for Hadoop
1.Problems with traditional large-scale systems
1.Data Storage literature survey
2.Data Processing literature Survey
3.Network Constraints
2.Requirements for a new approach
3.Hadoop: Basic Concepts
1.What is Hadoop?
2.The Hadoop Distributed File System
3.Hadoop Map Reduce Works
4.Anatomy of a Hadoop Cluster
4.Hadoop demons
1.Master Daemons
1.Name node
2.Job Tracker
3.Secondary name node
2.Slave Daemons
1.Job tracker
2.Task tracker
5.HDFS(Hadoop Distributed File System)
1.Blocks and Splits
1.Input Splits
2.HDFS Splits
2.Data Replication
1.Hadoop Rack Aware
3.Data high availability
4.Cluster architecture and block placement.