Hadoop for Beginners

What Will I Learn?

Understand the complex Architecture of Hadoop and its components
Understand the concept of MapReduce analyze big data sets
Learn how to install hadoop on your machine
Understand the Map Reduce concepts and formats
Learn about the Hadoop ecosystem

Requirements

Basic Knowledge of SQL and RDBMS

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Description

Hadoop is an open source distributed processing framework which helps to manage data processing and storage for big data applications running in clustered systems. The main objective of this course is to start from the basics of Hadoop, its architecture and map reduce concepts.

Following modules are covered in this course namely:

Introduction to Hadoop
Hadoop setup
HDFS Architecture
Map Reduce
Map Reduce types and Formats
Classic Map Reduce and YARN
Advanced Map Reduce Concepts
Introduction to Hadoop Ecosystem

Curriculum For This Course

46 Lessons 9 Hours

Introduction to Hadoop

5 Lessons 00:26:40 Hours

Big Data - Big value 00:05:47 Preview
Understanding Big Data 00:05:16 Preview
Hadoop and other Solutions 00:07:26
Distributed Architecture - A Brief Overview 00:02:55
Hadoop Releases 00:05:16

Hadoop Setup

4 Lessons 00:51:53 Hours

Setup Hadoop 00:28:57
Linux (Ubuntu) - Tips and Tricks 00:04:35
HDFS commands 00:10:33 Preview
Running a MapRed Program 00:07:48

HDFS Architecture and Concepts

5 Lessons 00:26:45 Hours

HDFS Concepts 00:04:36 Preview
HDFS Architecture 00:06:35
HDFS Read and Write 00:04:55
HDFS Concepts II 00:04:04
Special Commands 00:06:35

Understanding MapReduce

7 Lessons 00:53:28 Hours

MapReduce Introduction 00:06:06
Understanding MapReduce Part 1 00:05:13
Understanding MapReduce Part 2 00:05:19
Running First MapReduce Program 00:10:31
Combiner And Tool Runner 00:11:06
Recap Map, Reduce and Combiner Part 1 00:07:27
Recap Map, Reduce and Combiner Part 2 00:07:46

MapReduce Types and Formats

4 Lessons 00:22:44 Hours

MapReduce Types and Formats 00:05:38
Experiments with Defaults 00:07:11
IO Format Classes 00:06:17
Experiments with File Output - Advanced Concept 00:03:38

Classic MapReduce and YARN

8 Lessons 00:47:54 Hours

Anatomy of MapReduce job run 00:04:22
Job Run- Classic MapReduce 00:07:54
Failure Scenarios - Classic Map Reduce 00:03:45
Job Run - YARN 00:09:45
Failure Scenario - YARN 00:05:18
Job Scheduling in MapReduce 00:05:07
Shuffle and Sort 00:04:33
Performance Tuning Features 00:07:10

Advanced MapReduce Concepts

8 Lessons 00:38:09 Hours

Looking at Counters 00:06:22
Hands on - Counters 00:03:32
Sorting Ideas with Partitioner - Part 1 00:07:20
Sorting Ideas with Partitioner - Part 2 00:05:31
Map Side Join Operation 00:04:42
Reduce Side Join Operation 00:04:30
Side Distribution of Data 00:03:48
Hadoop Streaming and Hadoop Pipes 00:02:24

Introduction to Hadoop Ecosystem

4 Lessons 00:32:21 Hours

Introduction to Pig 00:09:24
Introduction to Hive 00:10:08
Introduction to Sqoop 00:08:44
Knowing Sqoop 00:04:05

Bonus Video

1 Lessons 03:31:53 Hours

Advanced Hadoop 03:31:53

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Hadoop for Beginners