Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts cover image

Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts

By Sricharan Vadapalli
Packt Publishing


<p><b>Transform yourself into a specialist in DevOps adoption for Big Data on cloud</b></p><h4>Key Features</h4><ul><li>Learn the concepts of Bigdata and Devops and Implement them</li><li>Get Acquainted with DevOps Frameworks Methodologies and Tools</li><li>A practical approach to build and work efficiently with your big data cluster</li><li>Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings</li><li>In-Depth Technology understanding on Data Sciences, Microservices, Bigdata</li></ul><h4>Book Description</h4><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><h4>What you will learn</h4><ul><li>Learn about the DevOps culture, its frameworks, maturity, and design patterns</li><li>Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud</li><li>Build big data clusters, enterprise applications and data science models</li><li>Apply DevOps concepts for continuous integration, delivery, deployment and monitoring</li><li>Get introduced to Open source tools, service offerings from multiple vendors</li><li>Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems</li></ul><h4>Who This Book Is For</h4><p>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.</p><h4>Table of Contents</h4><ol><li>Introduction to DevOps</li><li>Introduction to Big Data and Data Sciences</li><li>DevOps Framework</li><li>Big Data Hadoop Ecosystems</li><li>Cloud Computing</li><li>Building Big Data Applications</li><li>DevOps - Continuous Integration and Delivery</li><li>DevOps Continuous Deployment</li><li>Containers, IoT, and Microservices</li><li>DevOps for Digital Transformation</li><li>Appendix A: DevOps Adoption by ERP Systems</li><li>Appendix B: DevOps Periodic Table</li><li>Appendix C: Business Intelligence Trends</li><li>Appendix D: Testing Types and Levels</li><li>Appendix E: Java Platform Standard Edition 8</li></ol>

Related books

Forms and Concepts: Concept Formation in the Platonic Tradition
C. Helmig
Electronics: VLSI
CMOS IC Layout: Concepts, Methodologies, and Tools with CDROM: Concepts, Methodologies and Tools
Dan Clein
Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts
Sricharan Vadapalli
The Trinity of Trauma: Ignorance, Fragility, and Control: The Evolving Concept of Trauma / The Concept and Facts of Dissociation in Trauma
Ellert Nijenhuis
Quantum Language and the Migration of Scientific Concepts: Quantum Physics, Nuclear Discourse, and the Cultural Migration of Scientific Concepts
Jennifer Burwell
Intégration des concepts d’optimisation et de fiabilité dans la conception des machines agricoles
Abd Al-Kareem Abo Al-Kheer