Hands-on DevOps

✍ Scribed by Sricharan Vadapalli

• Publisher: Packt Publishing
• Year: 2017
• Tongue: English
• Category: Library

✦ Synopsis

Transform yourself into a specialist in DevOps adoption for Big Data on cloud

About This Book

Learn the concepts of Bigdata and Devops and Implement them

Get Acquainted with DevOps Frameworks Methodologies and Tools

A practical approach to build and work efficiently with your big data cluster

Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings

In-Depth Technology understanding on Data Sciences, Microservices, Bigdata

Who This Book Is For

If you are a Big Data Architects, solutions provider, or any stakeholder working in big data environment and wants to implement the strategy of DevOps, then this book is for you.

What You Will Learn

Learn about the DevOps culture, its frameworks, maturity, and design patterns

Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud

Build big data clusters, enterprise applications and data science models

Apply DevOps concepts for continuous integration, delivery, deployment and monitoring

Get introduced to Open source tools, service offerings from multiple vendors

Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems

In Detail

DevOps strategies have really become an important factor for big data environments.

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.

By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters.

Style and approach

A clear, concise, and straightforward book that will enable you to use and implement DevOps on big data to improve the efficiency.

✦ Subjects

Computer Technology; Nonfiction; COM011000; COM088000; COM091000