Big data Training in Chennai by Sasken 9840014739

Audience - Oracle Database Administrator, SQL DBA, windows administrator, Unix Administrator, and Network Administrators

Module 1 Big data Getting Started	What is Big Data? 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 Hadoop cluster Topology Overview Setting up SSH for Hadoop Cluster Running Hadoop – 1.       Pseudo-distributed mode Linux basic commands HDFS file commands Reading and writing to HDFS programmatically Hands-on Lab Exercises
Module 3 MapReduce Framework	Java Basics Anatomy of a MapReduce Program Writables InputFormat OutputFormat Streaming API Inherent failure handling Reading and writing Hands-on Lab Exercises
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 Determining Optimal number of reducers, partitions Hadoop cluster – Performance tuning Hands-on Lab Exercises
Module 5 - Apache Hadoop Administration
Level 1	Operating System Preparation       Deployment Setup       Software       Hostname, DNS, and Identification       Users, Groups and Privileges  Kernel Tuning      vm.overcommit_memory      Vm.swappiness Best Practices for Hadoop setup and infrastructure Hadoop cluster Installation preparation & Configuration    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 Implementation       Workflow Scheduler               FIFO Scheduler Configuration                Capacity Scheduler Configuration                Fair Scheduler  Configuration dfsadmin & mradmin commands Administration of Hcatalog and Hive Backup and Recovery -
Level  2  Cluster maintenance	Starting and stopping Processes with Init Scripts Starting and Stopping processes manually   HDFS maintenance Tasks -           Data node failure & Recovery -          Name Node Failure & Recovery -          JT & TT failure  & Recovery -          Removing data nodes -          Adding Data nodes -           Commissioning and decommissioning of nodes   Map Reduce  maintenance Tasks -          Shared upon request
Level 3  Monitoring	Hadoop Metrics Health-check         Hadoop Processes      Rest of them shared upon request
Level 4 Backup and Recovery	Data Backup  Name Node backup
Module  6 Pig and Pig Latin	Installation and configuration Running Pig Lating through grunt Working with Scripts Lab Exercises
Module  7 HBase and ZooKeeper	NoSQL Vs SQL Cap  Theorem Architecture Installation Configuration Java API 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
Module 10 Hadoop on Cloud	Hosting Hadoop on Amazon EC2 EMR Hands-on