HADOOP BIGDATA Training Institute @ 9845563072

Best Hadoop BIG DATA Training In Bangalore - Getin IT Solutions

Hadoop training Given by the real time Expert

Hadoop BigData Training Course Content

Hadoop Architecture

MODULE 1 - BIG DATA, HADOOP, INTRODUCTION TO HADOOP ARCHITECTURE

Why did Big Data suddenly become so prominent

Limitations of traditional large scale systems

Compare Hadoop architecture with traditional architecture

Core components of Hadoop

Understanding Hadoop Master-Slave Architecture

Understanding HDFS Architecture

Learn about NameNode, DataNode, Secondary Node

Learn about JobTracker, TaskTracker

Anatomy of Read and Write data on HDFS

MODULE 2 - INSTALLING AND SETTING UP A HADOOP CLUSTER

Hadoop deployment Modes - Standalone, Single node, Multinode

Configuration files in a Hadoop Cluster

Important Web URL's for Hadoop

Run HDFS and Linux commands

Run MapReduce example to get a high level understanding

Manuals for installation of Hadoop 1.0 and Hadoop 2.0

Manual for Demo VM installation steps for Windows

MODULE 3 - UNDERSTANDING HADOOP MAPREDUCE FRAMEWORK

Overview of the MapReduce Framework

Use cases of MapReduce

MapReduce Architecture

Understand the concept of Mappers, Reducers

Anatomy of MapReduce Program

MapReduce Components - Mapper Class, Reducer Class, Driver code

Splits and Blocks

Understand Combiner and Partitioner

MODULE 4 - ADVANCE MAPREDUCE - PART 1

Write your own Partitioner

Writing Map and Reduce in Python

Map Side Join

Distributed Join

Distributed Cache

Reduce Side Join

Counters

Joining Multiple datasets in MapReduce

MODULE 5 - ADVANCE MAPREDUCE - PART 2

MapReduce internals

Understanding Input Format

Custom Input Format

MapReduce API

Hadoop Data Types

Using Writable and Writable comparable

Understanding Output Format

Sequence Files

JUnit and MRUnit Testing Frameworks

MODULE 6 - APACHE PIG

PIG vs MapReduce

PIG components

PIG execution

PIG Data types

PIG Architecture

PIG Latin Relational Operators

PIG Latin Join and CoGroup

PIG Latin Group and Union

Describe, Explain, Illustrate

PIG Latin: File Loaders

PIG Latin: Creating UDF

Data warehousing with Hive

MODULE 7 - APACHE HIVE AND HIVEQL

What is Hive

Hive DDL - Create/Show/Drop Database

Hive DDL - Create/Show/Drop Tables

Hive DML - Load Files into Tables

Hive DML - Inserting Data into Tables

Hive SQL - Select, Filter, Join, Group By

Hive Architecture & Components

Hive Data Model and Data Units

Difference between Hive and RDBMS

MODULE 8 - ADVANCE HIVEQL

Multi-Table Inserts

Joins

Grouping Sets, Cubes, Rollups

Custom Map and Reduce scripts

Hive SerDe

Hive UDF

Hive UDAF

Data INGESTION TOOLS

MODULE 9 - APACHE FLUME, APACHE SQOOP, APACHE OOZIE

Sqoop - How Sqoop works

Import/Export Data

Sqoop Architecture

Flume - How it works

Flume Complex Flow - Calculation/ Multiplexing

Oozie - Simple/Complex Flow

Oozie - Components

Oozie Service/ Scheduler

Example Workflow

Use Cases - Time and Data triggers

Running/Debuggin a Coordinator Job

Bundle

MODULE 10 - NOSQL DATABASES

Introduction to NoSQL

CAP theorem

RDBMS vs NoSQL

Analytical (OLAP)

Key Value stores: Memcached, Riak

Key Value stores: Redis, Dynamo DB

Column Family: Cassandra, HBase

Graph Store: Neo4J

Document Store: MarkLogic, MongoDB

Document Store: CouchBase, CouchDB, Exist DB

MODULE 11 - APACHE HBASE

When/Why to use HBase

HBase Architecture/Storage

HBase Features

HBase Data Model

HBase Families

Terms and Daemons

HBase Master

HBase vs RDBMS

Column Families

Access HBase Data

HBase API

Runtime modes

Running HBase

MODULE 12 - APACHE ZOOKEEPER

What is Zookeeper

Who is using it

Zookeeper Data Model

ZNode versions

Zookeeper API

ZNokde Types

Sequential ZNodes

Security

Standalone/Clustered mode

Installing and Configuring

Running Zookeeper

Zookeeper use cases

MODULE 13 - HADOOP 2.0, YARN, MRV2

Hadoop 1.0 Limitations

MapReduce Limitations

History of Hadoop 2.0

HDFS 2: Architecture

HDFS 2: Quorum based storage

HDFS 2: High availability

HDFS 2: Federation

YARN Architecture

Classic vs YARN

YARN App

Big Data in the Cloud

Amazon Web Services
Concepts: Pay pay use model
Amazon S3, EC2, EMR
Google Cloud Platform
Google Big Query

For more details about Hadoop Bigdata documents please click

www.getinitsolutions.com