Hadoop, Mapreduce for Big Data problems - Part 1

This course helps you learn in-depth details of Hadoop and MapReduce along with a hands on experience of the same. You'll learn how to set up your own cluster using both VMs and the Cloud. All the major features of MapReduce are covered - including advanced topics like Total Sort and Secondary Sort. You will also learn how to Build your Hadoop Cluster and Customize your own MapReduce Jobs. By the end of Part 1 and 2 of this course, you may expect to get in-depth understanding of Hadoop, MapReduce and Big Data Problems.

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It is available for all the learners.

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The outline of this course is mentioned below:

Introduction:

Introduction

Importance of Big Data:

• The Big Data Prototype
• Serial vs Distributed Computing

Hadoop Overview:

• What is Hadoop?
• HDFS or the Hadoop Distributed File System
• MapReduce Introduction
• YARN or Yet Another Resource Negotiator

Hadoop Installation:

• Install Modes
• Standalone Mode Install
• Pseudo - Distributed Mode Install

The MapReduce "Hello World":

• The basic philosophy underlying MapReduce
• Visualized And Explained
• Digging a little deeper at every step
• "Hello World" in MapReduce
• The Mapper
• The Reducer
• The Job

Run a MapReduce Job:

• Get comfortable with HDFS
• Run your first MapReduce Job

Combiners, Shuffle and Sort and The Streaming API:

• Combiners Usage
• Not all Reducers are Combiners
• Mappers and Reducers
• Parallelizing Reduce using Shuffle And Sort
• Introducing the Streaming API
• Python for MapReduce

HDFS:

• Protecting against data loss using replication
• Name nodes and why they're critical
• Checkpointing to backup name node information

Yarn:

• Basic Components
• Submitting a Job to Yarn
• Plug in Scheduling Policies
• Configure the Scheduler

MapReduce Customizations For Finer Grained Control:

• Setting up your MapReduce to Accept Command Line Arguments
• The Tool, Tool Runner and Generic Options Parser
• Configuring Properties of the Job Object
• Customizing the Partitioner, Sort Comparator and Group Comparator

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