Big data - Hadoop training Course Outline

This course has been designed to cover all type of audiences spanning from Architect, Administrator to developer. 

In case of any question regarding duration/fees/schedule , do call me @ 9840014739

Module 1 Big data Getting Started	What is Big Data? What is Big Data Analytics ? What  is Apache Hadoop ? History of Hadoop Understanding distributed file systems and Hadoop Hadoop eco system components Hadoop use cases Ubuntu Installation JDK Installation
Module 2 Hadoop Distributed File system	Eclipse Installation Overview of HDFS Communication Protocols Rack Awareness Hadoop cluster Topology Setting up SSH for Hadoop Cluster Running Hadoop –           Pseudo-distributed mode Linux basic commands HDFS file commands Reading and writing to HDFS programmatically
Module 3 MapReduce Framework	Java Basics Anatomy of a MapReduce Program Writables InputFormat OutputFormat Streaming API Inherent failure handling Reading and writing
Module 4 Advanced MapReduce  Programming	Input splits, Record Reader, Mapper, Partition & Shuffle, Reduce, OutputFormat Writing MapReduce program Streaming in Hadoop Counters Performance Tuning Joins Sorting
Module  5 Apache Hadoop Administration	Best Practices for Hadoop setup and infrastructure Hadoop cluster Installation preparation    Ø Cluster network design    Ø  Installation of Linux operating system    Ø  Configuring SSH    Ø  Walkthrough on Rack topology and set up Managing Hadoop cluster    Ø  HDFS cluster management    Ø  Secondary Name node configuration    Ø  Task Tracker management    Ø  Configuring the HDFS quota    Ø  Configuring Fair Scheduler          Ø  Upgrading Hadoop         Ø  Deploying and managing Hadoop          clusters with Ambari Monitoring Hadoop cluster    Ø  Monitoring Hadoop cluster with         Ganglia    Ø  Monitoring Hadoop cluster with               Ambari    Ø  Monitoring Hadoop cluster with Nagia Hadoop Cluster Performance Tuning    Ø  Benchmarking and profiling    Ø  Using compression for input and               output    Ø  Configuring optimal map and reduce         slots  for the TT    Ø  Fine tuning Job Tracker config    Ø  Fine tuning Task Tracker config    Ø  Tuning Shuffle, merge and sort              parameters Security Implementation               Kerberos security mplementation       Workflow Scheduler               Capacity Scheduler                Fair Scheduler    dfsadmin & mradmin commands Administration of Hcatalog and Hive Backup and Recovery Scenario based exercises -          Data node failure & Recovery -          Name Node Failure & Recovery -          JT & TT failure  & Recovery -          Removing data nodes -          Adding Data nodes
Module 6 Pig and Pig Latin	Installation and configuration Running Pig Lating through grunt Writing programs -          Filter , Load & Store functions Writing user defined functions Working with Scripts Lab Exercises
Module 7 HBase and ZooKeeper	NoSQL Vs SQL Cap  Theorem Architecture Installation Configuration Java API MR integration Performance Tuning Lab Exercises
Module 8 Hive	Features of Hive Architecture Installation and configuration HiveQL Lab Exercises
Module 9 Other Hadoop eco system components	Overview of Ambari, Oozie ,Mahout Installing & configuring Sqoop, mysql-server Installing & configuring flume Lab Exercises

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