Hadoop Course

by Vibrant Technologies & Computers

Module

Title

Contents

Module 1:

INTRODUCTION

What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good?

Module 2:

HDFS

Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture
HDFS Installation Hadoop File System Shell File System Java API

Module 3:

MAPREDUCE

Map/Reduce Overview and Architecture Installation
Developing Map/Red Jobs Input and Output Formats
Job Configuration Job Submission
Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )Data Flow Sources and Destinations
Data Flow Transformations Data Flow Paths

Module 4:

Advanced MapReduce Features

Custom Data Types
Input Formats
Output Formats
Partitioning Data
Reporting Custom Metrics
Distributing Auxiliary Job Data

Module 5:

Pig

Pig Overview
Installation
Pig Latin
Pig with HDFS

Module 6:

Hive

Hive Overview
Installation
Hive QL
Hive Unstructured Data Analyzation
Hive Semistructured Data Analyzation

Module 7:

HBase

HBase Overview and Architecture
HBase Installation
HBase Shell
CRUD operations
Scanning and Batching
Filters
HBase Key Design

Module 8:

CONFIGURATION

Basic Setup
Important Directories
Selecting Machines
Cluster Configurations
Small Clusters: 2-10 Nodes
Medium Clusters: 10-40 Nodes
Large Clusters: Multiple Racks

Module 9:

Integrations

Integration of Hadoop with Cloudera