Getting Started with Hadoop 2.x [Video]

Preview in Mapt
Code Files

Getting Started with Hadoop 2.x [Video]

A K M Zahiduzzaman

To build strong foundation by exploring Hadoop ecosystem with real-world examples.
Mapt Subscription
FREE
$29.99/m after trial
Video
$106.25
RRP $124.99
Save 14%
What do I get with a Mapt Pro subscription?
  • Unlimited access to all Packt’s 5,000+ eBooks and Videos
  • Early Access content, Progress Tracking, and Assessments
  • 1 Free eBook or Video to download and keep every month after trial
What do I get with an eBook?
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
What do I get with Print & eBook?
  • Get a paperback copy of the book delivered to you
  • Download this book in EPUB, PDF, MOBI formats
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
What do I get with a Video?
  • Download this Video course in MP4 format
  • DRM FREE - read and interact with your content when you want, where you want, and how you want
  • Access this title in the Mapt reader
$0.00
$106.25
$29.99 p/m after trial
RRP $124.99
Subscription
Video
Start 14 Day Trial

Frequently bought together


Getting Started with Hadoop 2.x [Video] Book Cover
Getting Started with Hadoop 2.x [Video]
$ 124.99
$ 106.25
Advanced Machine Learning with Spark 2.x [Video] Book Cover
Advanced Machine Learning with Spark 2.x [Video]
$ 124.99
$ 106.25
Buy 2 for $35.00
Save $214.98
Add to Cart

Video Details

ISBN 139781787122550
Course Length1 hours and 59 minutes

Video Description

Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousands of machines.

This course introduces you to the powerful system synonymous with Big Data, demonstrating how to create an instance and leverage Hadoop ecosystem's many components to store, process, manage, and query massive data sets with confidence.

The video course opens with an introduction to the world of Hadoop, where we discuss Nodes, Data Sets, and operations such as map and reduce. The second section deals HDFS, Hadoop's file-system used to store data. Further on, you’ll discover the differences between jobs and tasks, and get to know about the Hadoop UI. After this, we turn our attention to storing data in HDFS and Data Transformations. Lastly, we will learn how to implement an algorithm in Hadoop map-reduce way and analyze the overall performance.

Style and Approach

This book gives you an in-depth understanding of the basics of Hadoop balanced with tutorials that put the theory into practice. The focus of this course is giving you both the theoretical understanding and the practical hands-on examples of Hadoop 2.7.

Table of Contents

Intro to the Hadoop World
The Course Overview
Installing Hadoop in Local
Bring Process to Data
NameNode Versus DataNode
Map and Reduce Operations
Order of Execution and Parallel Thinking
File System Overdrive with HDFS
Formatting a HDFS
Formatting a HDFS
Some Helpful Commands to Communicate with the HDFS
HDFS Protocol and Using It in Applications
Let’s Run Some Hadoop Jobs
Hadoop Jobs Versus Tasks
The Hadoop UI for Task Progress
Running a Couple of Example Jobs
Analyze the Work Flow/Data Flow/Process Flow
It’s Show Time
Introduction to the Movie Dataset
Data Transformation and Storing to HDFS
Devise a Simple Algorithm for Recommendation
Implement the Algorithm in Hadoop Map-Reduce Way and Analyze Performance

What You Will Learn

  • Get in-depth knowledge of the Hadoop 2.7 architecture
  • See how to implement your hypothesis/algorithms on big data
  • Understand the Hadoop 2.x Architecture
  • Discover the process to set up an HDFS cluster along with formatting and data transfer in between your local storage and the Hadoop filesystem
  • Get to know all about the Hadoop UI
  • Create Map-reduce jobs

Authors

Table of Contents

Intro to the Hadoop World
The Course Overview
Installing Hadoop in Local
Bring Process to Data
NameNode Versus DataNode
Map and Reduce Operations
Order of Execution and Parallel Thinking
File System Overdrive with HDFS
Formatting a HDFS
Formatting a HDFS
Some Helpful Commands to Communicate with the HDFS
HDFS Protocol and Using It in Applications
Let’s Run Some Hadoop Jobs
Hadoop Jobs Versus Tasks
The Hadoop UI for Task Progress
Running a Couple of Example Jobs
Analyze the Work Flow/Data Flow/Process Flow
It’s Show Time
Introduction to the Movie Dataset
Data Transformation and Storing to HDFS
Devise a Simple Algorithm for Recommendation
Implement the Algorithm in Hadoop Map-Reduce Way and Analyze Performance

Video Details

ISBN 139781787122550
Course Length1 hours and 59 minutes
Read More

Read More Reviews

Recommended for You

Advanced Machine Learning with Spark 2.x [Video] Book Cover
Advanced Machine Learning with Spark 2.x [Video]
$ 124.99
$ 106.25
Getting Started with Reactive Programming with Kotlin [Video] Book Cover
Getting Started with Reactive Programming with Kotlin [Video]
$ 124.99
$ 106.25
Python Data Visualization with Matplotlib 2.x [Video] Book Cover
Python Data Visualization with Matplotlib 2.x [Video]
$ 124.99
$ 106.25
Amazon EC2 Master Class (with Auto Scaling and Load Balancer) [Video] Book Cover
Amazon EC2 Master Class (with Auto Scaling and Load Balancer) [Video]
$ 47.99
$ 40.80
Getting Started with Dynamics 365 Customer Engagement [Video] Book Cover
Getting Started with Dynamics 365 Customer Engagement [Video]
$ 124.99
$ 106.25
Learning TypeScript 2.x - Second Edition Book Cover
Learning TypeScript 2.x - Second Edition
$ 39.99
$ 28.00