Big DATA Hadoop Online Training

Course Content for Hadoop Developer
This Course Covers 100% Developer and 40% Administration Syllabus.

Introduction to BigData, Hadoop:-
 Big Data Introduction
 Hadoop Introduction
 What is Hadoop? Why Hadoop?
 Hadoop History?
 Different types of Components in Hadoop?
 HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
 What is the scope of Hadoop?
Deep Drive in HDFS (for Storing the Data):-
 Introduction of HDFS
 HDFS Design
 HDFS role in Hadoop
 Features of HDFS
 Daemons of Hadoop and its functionality
o Name Node
o Secondary Name Node
o Job Tracker
o Data Node
o Task Tracker
 Anatomy of File Wright
 Anatomy of File Read
 Network Topology
o Nodes
o Racks
o Data Center
 Parallel Copying using DistCp
 Basic Configuration for HDFS
 Data Organization
o Blocks and
o Replication
 Rack Awareness
 Heartbeat Signal
 How to Store the Data into HDFS
 How to Read the Data from HDFS
 Accessing HDFS (Introduction of Basic UNIX commands)
 CLI commands
MapReduce using Java (Processing the Data):-
 The introduction of MapReduce.
 MapReduce Architecture
 Data flow in MapReduce
o Splits
o Mapper
o Portioning
o Sort and shuffle
o Combiner
o Reducer
 Understand Difference Between Block and InputSplit
 Role of RecordReader
 Basic Configuration of MapReduce
 MapReduce life cycle
o Driver Code
o Mapper
o and Reducer
 How MapReduce Works
 Writing and Executing the Basic MapReduce Program using Java
 Submission & Initialization of MapReduce Job.
 File Input/Output Formats in MapReduce Jobs
o Text Input Format
o Key Value Input Format
o Sequence File Input Format
o NLine Input Format
 Joins
o Map-side Joins
o Reducer-side Joins
 Word Count Example
 Partition MapReduce Program
 Side Data Distribution
o Distributed Cache (with Program)
 Counters (with Program)
o Types of Counters
o Task Counters
o Job Counters
o User Defined Counters
o Propagation of Counters
 Job Scheduling
PIG:-
 Introduction to Apache PIG
 Introduction to PIG Data Flow Engine
 MapReduce vs. PIG in detail
 When should PIG use?
 Data Types in PIG
 Basic PIG programming
 Modes of Execution in PIG
o Local Mode and
o MapReduce Mode
 Execution Mechanisms
o Grunt Shell
o Script
o Embedded
 Operators/Transformations in PIG
 PIG UDF’s with Program
 Word Count Example in PIG
 The difference between the MapReduce and PIG
SQOOP:-
 Introduction to SQOOP
 Use of SQOOP
 Connect to mySql database
 SQOOP commands
o Import
o Export
o Eval
o Codegen etc…
 Joins in SQOOP
 Export to MySQL
 Export to HBase
HIVE:-
 Introduction to HIVE
 HIVE Meta Store
 HIVE Architecture
 Tables in HIVE
o Managed Tables
o External Tables
 Hive Data Types
o Primitive Types
o Complex Types
 Partition
 Joins in HIVE
 HIVE UDF’s and UADF’s with Programs
 Word Count Example

HBASE:-
 Introduction to HBASE
 Basic Configurations of HBASE
 Fundamentals of HBase
 What is NoSQL?
 HBase Data Model
o Table and Row
o Column Family and Column Qualifier
o Cell and its Versioning
 Categories of NoSQL Data Bases
o Key-Value Database
o Document Database
o Column Family Database
 HBASE Architecture
o HMaster
o Region Servers
o Regions
o MemStore
o Store
 SQL vs. NOSQL
 How HBASE is differed from RDBMS
 HDFS vs. HBase
 Client-side buffering or bulk uploads
 HBase Designing Tables
 HBase Operations
o Get
o Scan
o Put
o Delete
MongoDB:–
 What is MongoDB?
 Where to Use?
 Configuration On Windows
 Inserting the data into MongoDB?
 Reading the MongoDB data.
Cluster Setup:–
 Downloading and installing the Ubuntu12.x
 Installing Java
 Installing Hadoop
 Creating Cluster
 Increasing Decreasing the Cluster size
 Monitoring the Cluster Health
 Starting and Stopping the Nodes

Zookeeper
 Introduction Zookeeper
 Data Modal
 Operations
OOZIE
 Introduction to OOZIE
 Use of OOZIE
 Where to use?
Flume
 Introduction to Flume
 Uses of Flume
 Flume Architecture
o Flume Master
o Flume Collectors
o Flume Agents