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Bigdata Hadoop Developer, Admin Certification Training With Project

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sasi_kanth
sasi_kanth
in IT Jobs and Training

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CONTACT:  [email protected]    

 

CALL: +91-8341069591/9640156134


 

                                          HADOOP COURSE CONTENT

 
Course Objective Summary

 

ü  During this course, you will learn: 

ü  Introduction to Big Data and Hadoop 

ü  Hadoop ecosystem - Concepts 

ü  Hadoop Map-reduce concepts and features 

ü  Developing the map-reduce Applications 

ü  Pig concepts 

ü  Hive concepts 

ü  Oozie workflow concepts 

ü  HBASE Concepts 

ü  Real Life Use Cases

 

Introduction to Big Data and Hadoop 

ü  What is Big Data? 

ü  What are the challenges for processing big data? 

ü  What technologies support big data? 

ü  What is Hadoop? 

ü  Why Hadoop? 

ü  History of Hadoop 

ü  Use Cases of Hadoop 

ü  Hadoop eco System

 

ü  HDFS 

ü  Map Reduce 

ü  Statistics 

Understanding the Cluster

ü  Typical workflow 

ü  Writing files to HDFS 

ü  Reading files from HDFS 

ü  Rack Awareness 

ü  5 daemons

 

Let's talk Map Reduce 

ü  Before Map reduce 

ü  Map Reduce Overview 

ü  Word Count Problem 

ü  Word Count Flow and Solution 

ü  Map Reduce Flow 

ü  Algorithms for simple & Complex problems

 

Developing the Map Reduce Application

ü  Data Types 

ü  File Formats

ü  Explain the Driver, Mapper and Reducer code 

ü  Configuring development environment

- Eclipse 

ü  Running locally 

ü  Running on Cluster 

ü  Hands on exercises 

How Map-Reduce Works

ü  Anatomy of Map Reduce Job run 

ü  Job Submission 

ü  Job Initialization 

ü  Task Assignment 

ü  Job Completion 

ü  Job Scheduling 

ü  Job Failures 

ü  Shuffle and sort 

ü  Oozie Workflows 

ü  Hands on Exercises 

Map Reduce Types and Formats

ü  MapReduce Types 

ü  Input Formats - Input splits & records, text input, binary input, multiple inputs

& database input

ü  Output Formats - text Output, binary output, multiple outputs, lazy output and database output 

ü  Hands on Exercises

 

Map Reduce Features

 

ü  Counters 

ü  Sorting 

ü  Joins - Map Side and Reduce Side 

ü  Side Data Distribution 

ü  MapReduce Combiner 

ü  MapReduce Partitioner 

ü  MapReduce Distributed Cache 

ü  Hands Exercises 

Hive and PIG

ü  Fundamentals 

ü  When to Use PIG and HIVE 

ü  Concepts 

ü  Hands on Exercises 

SQOOP

   Import and Export data from RDBMS to HDFS    

 

   Import and Export data from RDBMS to HIVE 

HBASE and MongoDB

ü  CAP Theorem 

ü  Introduction to NOSQL 

ü  Hbase Architecture and concepts 

 

Case Studies Discussions Certification Guidance

Real Time Certification and interview Questions and Answers

Resume Preparation

Providing all Materials nd Links 

Real time Project Explanation and Practice                                     

 

        Contact : +91-8341069591       Mail: [email protected]

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