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Workshop on Big Data HADOOP

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Koramangala 6th Block, Bangalore

Course ID: 13786

Koramangala 6th Block, Bangalore

Students Interested 3 (Seats Left 0)

₹ 10,000

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Date and Time

Not decided yet.

Sanat

Software Engineer

About Sanat

He has around 10+ year of IT Experience and working as a PMTS with one of the most reputed MNC. He has delivered training to corporates like IBM, YAHOO, WIPRO,SAPIENT, etc. He has extensive implementation experience in HADOOP and so many others technologies.

His main interests are providing Consulting, Mentoring and Training in emerging technologies like Big Data HADOOP, Big Data Development HIVE,PIG, MONGODB, HBASE, MAPREDUCE, Cloud Computing, VM, SOA, MOBILE APPLICATION DEVELOPMENT.
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About the Course

Join 2 day Workshop on HADOOP on 28 Dec and 29 Dec 13 at KORMANGALA, BANGALORE in just 10K only and Step into NEW YEAR 2014 with the knowledge and certification in most emerging technology and Open the exciting career Opportunity for yourself.

Topics Covered

What is Big Data & Why Hadoop?

* Big Data Characteristics, Challenges with traditional system

Hadoop Overview & it's Ecosystem

* HDFS - Hadoop Distributed File System

* Name Nodes, Secondary Name Nodes and Data Nodes

* Map Reduce Anatomy - How Map Reduce Works?

* Job Tracker, Task Tracker

* Planning and designing a Hadoop Cluster

Hands-On Exercise - Setting up a distributed Hadoop Cluster ( 3 Nodes )

Hands-On Exercise- Basic HDFS Operations

Populating HDFS from RDBMS

Hands On Exercises- Using Sqoop for importing and exporting data


Managing and Scheduling jobs

* Starting and stopping Map Reduce jobs

* Overview of various schedulers for scheduling jobs

* FIFO, Fair and Capacity Scheduler

Hands On Exercises - Managing and scheduling jobs

Managing HDFS

* Understand Name Node and Secondary Name Node Files

* Checking HDFS health

* Rebalancing nodes in cluster

* Backing up name node metadata

* Commissioning and decommissioning Map Reduce nodes

Hands On Exercises - Adding and Removing Nodes


Hands On Exercises - NameNode Recovery

Monitoring Hadoop Cluster

* Checking counters, metrics & Log Files

* Using the Name Node and Job Tracker Web UIs

* Monitoring with Ganglia

Hands On Exercises - Using Web UIs and HDFS Health Check

Hands On Exercises- Configuring Ganglia for Monitoring

Benchmarking and optimizing a Cluster

* Various Configuration Parameters & Best Practices

* Benchmarking a Cluster

Hands On Exercises- Running Benchmarking operations

Best Practices

Who should attend

Any Graduate, Working Professional

Pre-requisites

Candidate should have some basic knowledge on Linux

What you need to bring

NA

Key Takeaways

Able to work with HADOOP.
Set up, installation
Linux
Backup &Recovery
Able to create nodes
will be able to learn full HADOOP working environment

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Students Interested 3 (Seats Left 0)

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