Book Image

Big Data Analytics with Hadoop 3

By : Sridhar Alla
Book Image

Big Data Analytics with Hadoop 3

By: Sridhar Alla

Overview of this book

Apache Hadoop is the most popular platform for big data processing, and can be combined with a host of other big data tools to build powerful analytics solutions. Big Data Analytics with Hadoop 3 shows you how to do just that, by providing insights into the software as well as its benefits with the help of practical examples. Once you have taken a tour of Hadoop 3’s latest features, you will get an overview of HDFS, MapReduce, and YARN, and how they enable faster, more efficient big data processing. You will then move on to learning how to integrate Hadoop with the open source tools, such as Python and R, to analyze and visualize data and perform statistical computing on big data. As you get acquainted with all this, you will explore how to use Hadoop 3 with Apache Spark and Apache Flink for real-time data analytics and stream processing. In addition to this, you will understand how to use Hadoop to build analytics solutions on the cloud and an end-to-end pipeline to perform big data analysis using practical use cases. By the end of this book, you will be well-versed with the analytical capabilities of the Hadoop ecosystem. You will be able to build powerful solutions to perform big data analytics and get insight effortlessly.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Packt Upsell
Scientific Computing and Big Data Analysis with Python and Hadoop

Distributed computing using Apache Hadoop

We are surrounded by devices such as the smart refrigerator, smart watch, phone, tablet, laptops, kiosks at the airport, ATMs dispensing cash to you, and many many more, with the help of which we are now able to do things that were unimaginable just a few years ago. We are so used to applications such as Instagram, Snapchat, Gmail, Facebook, Twitter, and Pinterest that it is next to impossible to go a day without access to such applications. Today, cloud computing has introduced us to the following concepts:

  • Infrastructure as a Service
  • Platform as a Service
  • Software as a Service

Behind the scenes is the world of highly scalable distributed computing, which makes it possible to store and process Petabytes (PB) of data:

  • 1 EB = 1024 PB (50 million Blu-ray movies)
  • 1 PB = 1024 TB (50,000 Blu-ray movies)
  • 1 TB = 1024 GB (50 Blu-ray movies)

The average size of one Blu-ray disc for a movie is ~ 20 GB.

Now, the paradigm of distributed computing is not really a genuinely...