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Big Data & Hadoop Administrator Training

Dates: 2nd & 3rd Aug 2014 (Sat & Sun)

2 Days Instructor Led Hands-On Training at Bangalore

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KnowledgeWorks Event Album: Click Here

Apache Hadoop, the open source data management software that helps organizations analyze massive volumes of structured and unstructured data, is a very hot topic across the tech industry. Employed by such big named websites as eBay, Facebook, and Yahoo, Hadoop is being tagged by many as one of the most desired tech skills for 2014 and coming years.


What participants will learn?

The attendees will learn below topics through lectures and hands-on exercises
  – Understand Big Data & Hadoop Ecosystem

  – Hadoop Distributed File System – HDFS

  – Planning, designing and deploying a fully distributed cluster

  – Managing and monitoring HDFS, Map Reduce Components

  – Periodic and regular maintenance activities for the cluster

  – Best practices for cluster optimization

  – Diagnosing, tuning and solving Apache Hadoop issues

  – Populating HDFS using Sqoop

Intended Audience:
Architects, developers, administrators who wish to design, deploy and manage Hadoop clusters.

Course Prerequisites: The participants should have basic understanding of Linux.


Faculty Profile:
He has about 15+ years of industry experience working on enterprise Java, SOA and Cloud computing platforms. He has worked with TCS, HP, and iGATE Patni and worked on large scale projects for customers like Motorola, Home Depot, CKWB Bank, P&G in the roles of solution and technical architect. He is a freelance who provides consulting and training on Cloud Computing, Big data & Hadoop. He has been teaching Hadoop for 2 years and has trained more than 500 people in Hadoop from large MNCs like EMC, CISCO, HP, YODLEE, YAHOO, SAMSUNG, VeriSign, Success Factors etc.


Course Outline:
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

Fee Details:

Rs. 17,800.00 + 12.36% Service Tax, Per Participant

Subject to availability of seats. Registration is first come first serve basis.

Terms & Conditions


Hurry Register Now!

Time: 09:30am to 05:30pm


Venue Details:

KnowledgeWorks IT Consulting Pvt. Ltd.,

No: 65, Sri Vinayaka Towers, 3rd Floor, 8th B Main,

27th Cross, Jayanagar 4th Block,

Bangalore – 560011

Payment Options:

Account Name: KnowledgeWorks IT Consulting Pvt. Ltd.,

Bank Name: Kotak Mahindra Bank

Bank  Account Number: 4811265641

Account Type : Current Account (CA)

Beneficiary Bank Address: Jayanagar Branch, Bangalore

RTGS / NEFT / IFSC Code: KKBK0000421

For any clarifications, Please contact:

Mr. Sudhindra D N: +91 9886221314 | T: +91 80 26630622, 22459941, 41533451

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