HADOOP Online Training Course Content
Duration: 5-6 Weeks
Modulue-1
An Introduction to Big Data
The explosion of Data
Big Data Characteristics
BI Vs Big Data
Big Data Applications
Big Data Framework
Big Data Vendor information
Module-2
Big Data Approaches
Approaches to Process Big Data (Phases)
Traditional Database analytics
Massive Parallel Processing
Cloud Computing
Grid Computing
Map Reduce
What problems exist with ‘traditional’ large-scale computing Systems?
What requirements an alternative approach should have?
How Hadoop addresses those requirements?
Module-3
The Hadoop Basic concepts
What Hadoop is
What features the Hadoop Distributed File System (HDFS) provides
The concepts behind MapReduce
How a Hadoop cluster operates
What other Hadoop Ecosystem projects exist
Module-4
Introduction to Map Reduce
MapReduce Architecture
Fault tolerance in MapReduce
Sample applications
Getting started with Hadoop
Higher-level languages on top of Hadoop: Pig and Hive
Module-5
Integrating Hadoop Into The Workflow
Introduction
Relational Database Management Systems
Storage Systems
Importing Data From RDBMSs With Sqoop
Hands-On Exercise
Importing Real-Time Data With Flume
Accessing HDFS Using FuseDFS and Hoop
Conclusion
Module-6
An Introduction to Pig
What is Pig?
Pig’s Features
Pig Use Cases
Interacting with Pig
Essential Points
Conclusion
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Module-7
Basic Data Analysis with Pig
Basic Syntax of Pig Latin
How to load and store data using Pig
Which datatypes Pig uses to represent data
How to sort and filter data in Pig
How to use many of Pig’s built in functions for data processing
Processing Complex Data with Pig
How Pig uses bags,tuples,and maps to represent complex data.
The Techniques Pig provides to for grouping and ungrouping data.
How to use aggregate functions in Pig Latin
How to iterate through records in complex data structures.
Multi Dataset Operations with Pig
How we can use grouping to combine data from multiple sources.
What types of join operators Pig supports and how to use them.
How to concatenate records to produce a single data set.
How to split a single data set into multiple relations
Module-8
Introduction to Hive
What is Hive
How Hive differs from a relational database.
Ways in which organizations use Hive.
How to invoke and interact with Hive.
Relational Data with Hive
How to explore database and tables in Hive.
How HiveQL syntax compared with SQL
Which datatypes Hive supports.
Join operators in Hive
Built in functions in Hive.
Hive Data Management
How Hive encodes and stores data
How to create Hive databases,tables and views.
How to load data into tables
How to alter and remove tables
How to save query results into tables and files.
How to control access to data in Hive
Important String Functions
Module-9
What is HBase?
When To Use HBase?
HBase Data Model
HBase Logical View
HBase Physical Model
Major Components Of HBase
HBase Big Picture
Compaction
HBase Shell
HBase Useful Commands
Hand’s On exercise
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