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What is Big Data?
What is Hadoop?
Relation between Big Data and Hadoop.
What is the need of going ahead with Hadoop?
Scenarios to apt Hadoop Technology in REAL TIME Projects
Challenges with Big Data
How Hadoop is addressing Big Data Changes
Comparison with Other Technologies
Data Warehouse
Different Components of Hadoop Echo System
Storage Components
Processing Components

HDFS (Hadoop Distributed File System)
What is a Cluster Environment?
Cluster Vs Hadoop Cluster.
Significance of HDFS in Hadoop
Features of HDFS
Storage aspects of HDFS
How to Configure block size
Default Vs configurable block size
Why HDFS block size is so large
Design Principles of block size
HDFS Architecture 5 demons of Hadoop
NameNode and its functionality
Data node and its functionality
Job Tracker and its functionality
Task Track and its functionality
Secondary Name Node and its functionality
Replication in Hadoop - Fail Over Mechanism
Data Storage in Data Nodes
Fail Over Mechanism in Hadoop - Replication
Replication Configuration
Custom Replication
Design Constraints with Replication Factor
Accessing HDFS
CLI (Command Line Interface) and HDFS Commands
Java Based Approach
Hadoop Archives

Why Map Reduce is essential in Hadoop?
Processing Daemons of Hadoop
Job Tracker
> Roles Of Job Tracker
> Drawbacks w.r.to Job Tracker failure in Hadoop Cluster
> How to configure Job Tracker in Hadoop Cluster
Task Tracker
> Roles of Task Tracker
> Drawbacks w.r.to Task Tracker Failure in Hadoop Cluster
Input Split
Need Of Input Split in Map Reduce
InputSplit Size
InputSplit Size Vs Block Size
InputSplit Vs Mappers
Map Reduce Life Cycle
Communication Mechanism of Job Tracker and Task Tracker
Input Format Class
Record Reader Class
Success Case Scenarios
Failure Case Scenario
Retry Mechanism in Map Reduce
MapRedue Programming Model
Different phases of Map Reduce Algorithm
Different Data types in Map Reduce
> Primitive Data types Vs Map Reduce Data types
How to write basic Map Reduce Program
> Driver Code
> Mapper Code
> Reducer Code
Driver Code
> Importance of Driver Code in a Map Reduce program
> How to Identify the Driver Code in Map Reduce program
> Different sections of Driver code
Mapper Code
> Importance of Mapper Phase in Map Reduce
> How to Write a Mapper Class?
> Methods in Mapper Class
Reducer Code
> Importance of Reduce phase in Map Reduce
> How to Write Reducer Class?
> Methods in Reducer Class
Input Formats in Map Reduce
> TextInputFormat
> KeyValueTextInputFormat
> NLinelnputFormat
> DBlnputFormat
> SequenceFilelnputFormat
> How to use the specific input format in Map Reduce
Output Formats in Map Reduce
> TextOutputFormat
> KeyValueTextOutputFormat
> NLineOutputFormat
> DBOutputFormat
> SequenceFileOutputFormat
> How to use the specific Output format in Map reduce
Map Reduce API(Application Programming
> New API
> Deprecated API
Combiner in Map Reduce
> Is combiner mandate in Map Reduce
> How to use the combiner class in Map Reduce
> Performance tradeoffs w.r.to Combiner
Partitioner in Map Reduce
> Importance of Pratitioner class in Map Reduce
> How to use the Partitioner class in Map Reduce
> hashPartitioner functionality
> How to write a custom Partitioner
Compression techniques in Map Reduce
> Importance of Compression in Map Reduce
> What is CODEC
> Compression Types
> GzipCodec
> BzipCodec
> LZOCodec
> SnappyCodec
> Configurations w.r.to Compression Techniques
> How to customize the Compression per one job Vs all the job
Joins - in Map Reduce
> Map Side Join
> Reduce Side Join
> Performance Trade Off
> Distributed cache
How to debug MapReduce Jobs in Local and Pseudo cluster Mode.
Introduction to MapReduce Streaming
Data localization in Map Reduce

Apache PIG
Introduction to Apache Pig
Map Reduce Vs Apache Pig
SQL Vs Apache Pig
Different data types in Pig
Modes Of Execution in Pig
Local Mode
Map Reduce OR Distributed Mode
Execution Mechanism
Grunt Shell
Transformations in Pig
How to write a simple pig script
How to develop the Complex Pig Script
Bags, Tuples and fields in PIG
UDFs in Pig
Need of using UDFs in PIG
How to use UDFs
REGISTER Key word in PIG
When to use Map Reduce & Apace PIG in REAL TIME Projects

Hive Introduction
Need of Apache HIVE in Hadoop
Hive Architect
Executor(Semantic Analyzer)
Meta Store in Hive
Importance Of Hive Meta Store
Embedded metastore configuration
External metastore configuration
Communication mechanism with Metastore
Hive Integration with Hadoop
Hive Query Language(Hive QL)
Configuring Hive with MySQL MetaStore
Data Slicing Mechanisms
Partitions In Hive
Buckets In Hive
Partitioning Vs Bucketing
Real Time Use Cases
Collection Data Types in HIVE
User Defined Functions(UDFs) in HIVE
Need of UDFs in HIVE
Hive Serializer/Deserializer SerDe
HIVE - HBASE Integration

Introduction to sqoop
MySQL client and Server Installation
How to connect to Relational database using Sqoop
different Sqoop Commands
Different flavours of Improrts

HBASE Introduction
Hbase use cases
Hbase basics
Column families
HBase Architecture
Java Based
Map Reduce Integration
Map Reduce over HBase
HBase Admin
Schema Definition
Basic CRUD Operations

Flume Introduction
Flume Architecture
Flume Master, Flume Collector and Flume Agent
Flume Configurations
Real Time Use Case using Apache Flume

Oozie Introduction
Oozie Architecture
Oozie Configuration Files
Oozie Job Submission

YARN (Yet Another Resource Negotiator) - Next Gen. Map Reduce
What is YARN?
YARN Architecture
Resource Manager
Application Master
Node Manager
When should we go ahead with YARN
Classic Map Reduce Vs YARN Map Reduce
Different Configuration Files for YARN

What is Impala?
How can we use Impala for Query Processing
When should we go ahead with Impala
HIVE Vs Impala
REAL TIME Use Case with Impala

MongoDB (NoSQL Database):
Need of NoSQL Databases
Relational Vs Non-Relational Databases
Introduction to MongoDB
Features of MongoDB
Installation of MongoDB
Mongo DB Basic operations


Spark SQL
Joins using spark SQL.

Hadoop Single Node Cluster Set Up (Hands on Installation on Laptops)
Operating System Installation
JDK Installation
SSH Configuration
Dedicated Group & User Creation
Hadoop Installation
Different Configuration Files Setting
Name node format
Starting the Hadoop Daemons
Multi Node Hadoop Cluster Set Up (Hands on Installation on Laptops) )
Network related settings
Hosts Configuration
Password less SSH Communication
Hadoop Installation
Configuration Files Setting
Name Node Format
Starting the Hadoop Daemons
PIG Installation (Hands on Installation on Laptops)
Local Mode Clustered Mode Bashrc file configuration
SQOOP Installation (Hands on Installation on Laptops)
Sqoop installation with MySQL Client
HIVE Installation (Hands on Installation on Laptops)
Local Mode Clustered Mode
Hbase Installation (Hands on Installation on Laptops)
Local Mode Clustered Mode
OOZIE Installation (Hands on Installation on Laptops)
Mongo DB Installation (Hands on Installation on Laptops)
Commissioning of Nodes In Hadoop Cluster
Decommissioning of Nodes from Hadoop Cluster

Proof Of Concepts (POCs) - En End Execution and demonstration by POC Groups.
Hand Written Hard Copy & Soft Copy Materials for all the Components.
Detailed Assistance in RESUME Preparation with Real Time Projects based on your technical back ground.
Guidance in Resume preparation.
All the Real Time interview Questions will be provided.
Linux and SQL concepts will be covered as part of the course.
Discussing the Interview Questions on a daily basis


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