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..
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
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:
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
