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.
Sprache
Verlagsort
Maße
Höhe: 235 mm
Breite: 191 mm
ISBN-13
978-1-78847-118-3 (9781788471183)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Sricharan Vadapalli is an Information Technology leader with over 2 decades of experience in leading IT strategy and developing Next Generation IT solutions. Passionate with technology, build practices around DevOps, Big Data, Cloud, SAP HANA and EIM (Enterprise Information Management) Associated with Tech Startups, Instrumental in devising Go-Market strategy, strong proponent of open source tools adoption, Microservices, and Containers. Played leadership roles with MNC's like TCS, Infosys, CSC, Virtusa Polaris, handled fortune client engagements across multiple domains like BSFI, Retail, Telecom and Manufacturing.
Sricharan has a Masters of Technology from the Indian Institute of Technology, Delhi. His keen interest for continuous learning saw him certified in SAP HANA, In-Memory, PMP, ITIL, OCA, Function Point, and INS21. He is voracious reader, passionate about Yoga, nature lover, and is interested in traveling. His earlier book on Reality of Relations is a valuable for building successful relations, and key contributor for long-lasting happiness.
He lives in Hyderabad, India, with wife and two daughters.
