Book Image

Hands-on DevOps

By : Sricharan Vadapalli
Book Image

Hands-on DevOps

By: Sricharan Vadapalli

Overview of this book

<p>DevOps strategies have really become an important factor for big data environments.</p> <p>This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models.</p> <p>By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters.</p>
Table of Contents (22 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
11
DevOps Adoption by ERP Systems
12
DevOps Periodic Table
13
Business Intelligence Trends
14
Testing Types and Levels
15
Java Platform SE 8

Commercial Hadoop distributions


As we have seen in the previous section, Hadoop is open stack community distribution with an integration of multiple components or interface layers. Many commercial vendors have built on the basic Hadoop platform and customized it to offer in the market, both as a hardware product platform and a service. We will discuss a few of the popular options as follows:

  • Cloudera CDH Hadoop distribution
  • Hortonworks Data Platform (HDP)
  • MapR Hadoop distribution
  • Amazon Elastic MapReduce
  • IBM open platform
  • Microsoft Azure's HDInsight--cloud-based Hadoop distribution
  • Pivotal big data suite

Hadoop Cloudera enterprise distribution

The standard framework of Hadoop open source, with different layers and components, is presented as follows:

The Cloudera proprietary distribution framework is built on the Hadoop open source code, customizing the services as shown in the following topics. We will discuss the various components that make it a leading enterprise product.

Data integration services...