Practical BigData Course with Live Project using Agile methodology

If you are thrilled by the "Big Data " buzz world and planning to jump on to it. Think Again. Although it may see promising Bigdata /Hadoop based carrier could be challenging. With so many different course available each claiming to be best , you are more likely to get confused then to get convenience .

It was these factors which forced to be join and give a more realistic and practical option for Hadoop skillset for genuine folks. Much of the content and inputs of the course is based on my  experience in BigData domain for last 5 years from a total of 16 + exp..

Please join linked in group for regular updates on my learning in Hadoop / Bigdata Real time work.

http://www.linkedin.com/groups/Online-Hadoop-Training-4838165

Sample Session:

Please refer below vids as sample from training session. i hope that should help you make up your mind. 

Training Course Details Session:

https://www.youtube.com/watch?v=ij3v4mYKxHw

Hadoop HDFS Lab:

 Introduction to HADOOP

• Distributed computing , cloud computing
• Big data Basics and Need for Parallel Processing
• How Hadoop works ?
• Introduction to HDFS and Map Reduce

 Hadoop Architecture Details

• Name Node
• Data Node
• Secondary Name Node
• Job Tracker
• Task Tracker
• Safe Mode , FS Image and Edit log details

HDFS ( Hadoop - Distributed File System)

• Hadoop Distributed file system , Background, GFS
• Data Replication
• Data Storage
• Data Retrieval
• Additional HDFS commands
• HDFS Upgrade steps
• NameNode Failure recovery steps and execution.
• HDFS - Java API for Interaction with FS.
• Node Decommissioning 

 MapReduce Programming

• MapReduce, Background
• Writing MapReduce Programs
• Writable and WritableComparable
• Input Format, Output Format
• Input Split and Block size
• Combiner
• Partitioner
• Number of Mappers and Reducers
• Counters

Map Reduce Algorithms and Exercises

• Sentiment Analysis using Facebook , Twitter and Youtube data
• Frequency Count example with variations of MR .
• Eclipse based development of end to end MR Job and Deployment.
• Sorting Data using Key value Data Type Lab
• Exercises- Martix , Partitioner, No Reduce, Distributed Cache Labs

Hadoop Streaming

• Introduction to Hadoop Streaming
• Streaming API details and use cases
• Python Based Example for Streaming API
• Exercise for Hadoop Streaming ( XML Files ) Based.
• Exercises on Ruby
• Exercise on C# using MS-Azure.

Apache Pig

• Installation and configuration
• Execution Types - Local , MR modes
• Grunt Shell - Configuration 
• Pig Latin - Examples and code
• Data Processing using Pig Latin
• Loading and Storing Pig Functions
• Data Filtering
• Grouping & Joining Operations
• Hands on Exercises

Apache HBase Installation and Details

• HBase and NOSQL Introduction
• HBase Installation and Configuration.
• HBase and Java Based integration
• Hbase basic exercises

 Apache Hive  Instalaltion and Details

•     Hive Installation on Single cluster Hadoop Node.
•     Hive Services
•     Hive Shell Description
•     Meta store Details
•     Hive QL Basics
•     Working with Tables, Databases etc.
•     Hive JDBC programming
•     Hands on Exercises and Assignments

Introduction to Amazon Map Reduce (AWS-EMR)

• Hadoop using Amaozon Web Service
• AWS MapReduce and EC2 
• AWS - S3 Service Model.
• AWS-MR Architecture.
• Streaming Exercise using EMR JobFlow.

Hadoop Infrastructure Planning

• Basic Hadoop hardware and software req
• Small , Medium and Large cluster 
• Networking challenges in Hadoop Deployment
• Disaster Recovery ( DR ) in Hadoop .
• Performance Tuning a large cluster

 Hadoop Industry Solutions

• EMC GreenPlum Introduction
• IBM BigInsight Details

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People planning to move from Mainframe, SAP , ERP ,.NET domain get specialized consultancy help to map there existing skillset and tune it as per Hadoop related job opportunities.
We go with a end to end , 3 phase approach to cater to your need for not only helping you with training but also with interview preparation and later job support.

• Complete Hadoop and Eco system Training 
• Live Interview Preparation with mock interviews
•  Job support with coding help

Training Includes :
- Live and offline training on Hadoop , Ecosystem projects 40 Hours of recorded live training.
- 40+  Hadoop fully solved exercises (pdf form)
- Red Hat OS based Virtual machine for Labs.
- 2 set of Certification help questions
- Sample Resumes for Admin and Developer skillsets

Support includes :
- Helping and guiding student on day to day work w.rt to Hadoop.
- Coding and Helping with design suggestion for Hadoop , Hive , Pig and other tasks.
- Helping with documentation as needed - Design doc, Testing doc etc.
- Coding any Java related stuff as part of Hadoop Work.

Interview Preparation: 
- Walk through of Real time case study covering all Hadoop related tasks and questions.
- Writing and Discussing your resume and accordingly assessing your competency level
- 3 Mock Interviews on HDFS , Map Reduce and Misc Hadoop Topics .
- Sharing 2 certification Question Set .
- Guiding how to do Hardware estimation, Software configuration , Map Reduce code deployment etc.

You also has my open linked in forum to ask question with a Panel of experts .

Lastly about myself. I am 15+ exp Lead Hadoop Architect working for a Leading Financial Company . MY carrier spans across distributed programming , SOA and Cloud domain before moving to BigData space few years back.

Email: onlinetraining2011@gmail.com 

Skype:  onlinetraining2011

Course duration: 40 Hours
Medium:  GotoMetting