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

Data science


A few similar terms associated with data science include:

  • Data science: An interdisciplinary field also known as data-driven science. There are few stages such as data discovery, the study of information originating from varied data sources in different forms, structured or unstructured, ingesting  the data, and applying scientific methods and processes to gain insights and apply knowledge for the creation of value-added business and IT strategies.
  • Data mining: Data mining is a broad term for the practice of trying to find patterns in large sets of data. It is the process of trying to categorize a mass of data into a more understandable and cohesive set of information. Mining large amounts of structured and unstructured data to identify patterns can help an organization rein in costs, increase efficiency, recognize new market opportunities, and increase their competitive advantage.
  • Machine learning: Machine learning is the study and practice of designing systems that can learn...