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
Contributors
Preface
4
Scientific Computing and Big Data Analysis with Python and Hadoop
Index

Roles and boundaries


Organizations and humans can assume different types of predefined roles depending on how they relate to and/or interact with a Cloud and its hosted IT resources. Each of the upcoming roles participates in and carries out responsibilities in relation to Cloud-based activity. The following sections define these roles and identify their main interactions.

Cloud provider

The organization that provides Cloud-based IT resources is the Cloud provider. When assuming the role of Cloud provider, an organization is responsible for making Cloud services available to Cloud consumers as per the agreed SLA terms. The Cloud provider is further tasked with any required management and administrative duties to ensure smooth ongoing operation of the overall Cloud infrastructure.

Cloud providers normally own IT resources that are made available for lease by Cloud consumers; however, some Cloud providers also resell IT resources leased from other Cloud providers.

Cloud consumer

A Cloud consumer...