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

NoSQL databases


Traditional RDBMS are popular for their structured data, pre-configured schema, and rigid data consistency for transactional enterprise applications, and are characterized by the following attributes:

  • Supporting centralized applications, such as ERP systems, which consolidate enterprise data
  • Application availability could range from moderate to high availability
  • The data velocity supported applications is moderate
  • Typically, data input is limited to a few source systems
  • The data they handle is primarily structured in nature
  • The databases support complex and nested transactions
  • The primary expectation is to scale up to support the read operations for multiple concurrent users
  • Support moderate data volumes with cache and purge features

Most modern day applications are based on NoSQL databases to create flexible data schema, schema on read, or no schema to design web and cloud-based systems effectively. The key requirements are the ability to process very large volumes of data and quickly...