Hadoop Training in Chennai

Hadoop Training in Chennai

Benefits of Hadoop Training in Chennai at Greens Technology:

• Learn from Real Time Passionate Hadoop Experts with many years of expertise in Java and Hadoop components like Pig, MapReduce and Hive
• 100% Practical Classes with Real-time case studies in Hadoop
• Live Project
• Helped over 250+ students to shift their career into Big Data Technologies
• Tie-up with 124 leading companies
• 100% Placement support for Hadoop courses
• Support from Resume Preparation till Placement
• Smaller Batches to provide individual attention
• Flexible Timings
• High-Speed Internet Access
• Unlimited Lab Facility

Hadoop Training in Chennai Syllabus:

Big Data Opportunities & Challenges

• Introduction to 3V
• BigData & Hadoop

OOPS & Java Fundamentals

Understanding Linux Commands

• Linux commands required for Hadoop

Introduction to Hadoop

• Concept of Hadoop Distributed file system(HDFS)
• Design of HDFS
• Common challenges
• Best practices for scaling with your data
• Configuring HDFS
• Interacting with HDFS
• HDFS permission and Security
• Additional HDFS Tasks
• Data Flow - Anatomy of a File Read, Anatomy of a File Write and Coherency Model
• Hadoop Archives

Getting Started with Hadoop

• Creating & Running your program

Pseudo Cluster Environment - Setting up Hadoop Cluster

• Cluster specification
• Hadoop Configuration (Environment Settings, Hadoop Daemon - Properties, Addresses and Ports)
• Basic Linux and HDFS Commands
• Setup a Hadoop Cluster

MapReduce

• Hadoop Data Types
• Functional-Concept of Mappers
• Functional-Concept of Reducers
• The Execution Framework
• Concept of Partioners
• Functional- Concept of Combiners
• Hadoop Cluster Architecture
• MapReduce types
• Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
• OutPut Formats (TextOutput, BinaryOutPut, Multiple Output).
• Writing Programs for MapReduce

PIG

• Installing and Running Pig
• Grunt
• Pig's Data Model
• Pig Latin
• Developing & Testing Pig Latin Scripts
• Writing Evaluation
• Filter
• Loads & Store Functions

HIVE

• Hive Architecture
• Running Hive
• Comparison with Traditional Database (Schema on Read versus Write, Updates, Transactions and Indexes)
• HiveQL (Data Types, Operators and Functions)
• Tables (Managed and External Tables, Partitions and Buckets, Storage Formats, Importing Data)
• Altering Tables, Dropping Tables
• Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries & Views
• Map and Reduce site Join to optimize Query
• User Defined Functions
• Appending Data into existing Hive Table
• Custom Map/Reduce in Hive
• Perform Data Analytics using Pig and Hive

HBASE

• Introduction
• Client API - Basics
• Client API - Advanced Features
• Client API - Administrative Features
• Available Client
• Architecture
• MapReduce Integration
• Advanced Usage
• Advanced Indexing
• Implement HBASE

SQOOP

• Database Imports
• Workign with Imported data
• Importing Large Objects
• Performing Exports
• Exports- A Deeper look

ZooKeeper

• The Zookeeper Service (Data Modal, Operations, Implementation, Consistency, Sessions, States)

Oozie

• Workflow
• Coordinator
• Flume
• Concepts and Real time data streaming

Hadoop Admin

• Roles and Responsibilities
• Admin Activities

CCDH Certification Walkthrough

• Certification Exam Preparation