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Combining DataOps, MLOps and DevOps: Outperform Analytics and Software Development with Expert Practices on Process Optimization and Automation (English Edition) - Tapa blanda

 
9789355511966: Combining DataOps, MLOps and DevOps: Outperform Analytics and Software Development with Expert Practices on Process Optimization and Automation (English Edition)

Sinopsis

Accelerate the delivery of software, data, and machine learning

 

KEY FEATURES  

● Each chapter harmonizes the DevOps, Data Engineering, and Optimized Machine Learning cultures.

● Equips readers with AGILE skills to continuously re-prioritize production backlogs.

● Containerization, Docker, Kubernetes, DataOps, and MLOps are all rolled together.

 

DESCRIPTION 

This book instructs readers on how to operationalize the creation of systems, software applications, and business information using the best practices of DevOps, DataOps, and MLOps, among other things.

 

From software unit packaging code and its dependencies to automating the software development lifecycle and deployment, the book provides a learning roadmap that begins with the basics and progresses to advanced topics. This book teaches you how to create a culture of cooperation, affinity, and tooling at scale using DevOps, Docker, Kubernetes, Data Engineering, and Machine Learning. Microservices design, setting up clusters and maintaining them, processing data pipelines, and automating operations with machine learning are all topics that will aid you in your career. When you use each of the xOps methods described in the book, you will notice a clear shift in your understanding of system development.

 

Throughout the book, you will see how every stage of software development is modernized with the most up-to-date technologies and the most effective project management approaches.

 

WHAT YOU WILL LEARN

● Learn about the Packaging code and all its dependencies in a container.

● Utilize DevOps to automate every stage of software development.

● Learn how to create Microservices that are focused on a specific issue.

● Utilize Kubernetes to containerize applications in a variety of settings.

● Using DataOps, you can align people, processes, and technology.


WHO THIS BOOK IS FOR

This book is meant for the Software Engineering team, Data Professionals, IT Operations and Application Development Team with prior knowledge in software development.

 

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Amit Johri had a brilliant academic career with qualifications in Business Administration, Commerce including Business Administration, Computer Management, Law and Educational Management. He is a Senior Life Member of the CSI, Member of the IEEE, USA, Life Member of IIPA, New Delhi and Member of BMA. A Systems professional by education, he ventured into Computer System and Software Education, Training and Consulting in 1985, as a career, starting his company CSC Knowledge Systems being pioneers in the field of Computer Education & Training. He has authored several books on Computing / Systems / IT / Management / Business Administration. He is a Professor, Mentor, Project Guide, Examiner for Diploma / UnderGraduate / Graduate / PostGraduate programs in Engineering, Computer Science, Computer Applications, IT, BioInformatics, Management, Business Administration. His Technology Practicing, Research and Consulting profile includes Distributed Ledger Technology with Ethereum, Cloud Computing, Business Analysis, Business Intelligence, Competitive Intelligence, Business and Big Data Analytics, Application Development, RDBMSs, Software Engineering, Core Programming Languages. He has been Panelist, Chair, Speaker, Editorial Member, and Tutorial Presenter at various forums. He is an Academician and Industry Expert with over three decades of experience, 50+ book publications and a large number of students mentored by him. Dr. Kalpesh Parikh is a Ph.D in Computer and Information Science with 40 years of Enterprise and IT experience (Blending Technology, Process & Domain). The roles performed by him include IT Consultant, Solution Architect, Project/Product/Process Director, Head – Software Development, Lead Appraiser – Information Security. In Academic he has played role of Director Computer Center and Head Computer Science department in a university, Additional Director of an engineering college and Pro-Vice Chancellor of a university. He has Technology Practicing and Consulting, Governance and Process Consulting, Productisation Consultancy, Data Consulting, Education and Research experience. He has authored IT article series in The Times of India – Education Times, and the latest Enterprise Reincarnation, has delivered sessions on Quality in Research, Next Generation Technology, AI, Blockchain, Serverless Computing, Microservice Architecture. His association is with several universities/colleges/institutions and is invited as an Expert by AICTE, UGC, INFLIBNET, GTU, Government of Gujarat, GIL, CED, iNDEXTb, ICAI, ICMA, ISACA. He is empaneled with BIS for scripting standards on organizational data maturity model and with ISO Global in WG5 for Cloud interoperability and portability standards. He has developed large scale software products in the scale of 250-2000 man months in various technologies. He was invited as an speaker on Blockchain in Malta.

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  • EditorialBPB Publications
  • Año de publicación2022
  • ISBN 10 9355511965
  • ISBN 13 9789355511966
  • EncuadernaciónTapa blanda
  • IdiomaInglés
  • Número de páginas400
  • Contacto del fabricanteno disponible

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9789355511911: Combining DataOps, MLOps and DevOps: Outperform Analytics and Software Development with Expert Practices on Process Optimization and Automation (English Edition)

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ISBN 10:  9355511914 ISBN 13:  9789355511911
Editorial: BPB Publications, 2022
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Accelerate the delivery of software, data, and machine learning KEY FEATURES ¿ Each chapter harmonizes the DevOps, Data Engineering, and Optimized Machine Learning cultures. ¿ Equips readers with AGILE skills to continuously re-prioritize production backlogs. ¿ Containerization, Docker, Kubernetes, DataOps, and MLOps are all rolled together. DESCRIPTION This book instructs readers on how to operationalize the creation of systems, software applications, and business information using the best practices of DevOps, DataOps, and MLOps, among other things. From software unit packaging code and its dependencies to automating the software development lifecycle and deployment, the book provides a learning roadmap that begins with the basics and progresses to advanced topics. This book teaches you how to create a culture of cooperation, affinity, and tooling at scale using DevOps, Docker, Kubernetes, Data Engineering, and Machine Learning. Microservices design, setting up clusters and maintaining them, processing data pipelines, and automating operations with machine learning are all topics that will aid you in your career. When you use each of the xOps methods described in the book, you will notice a clear shift in your understanding of system development. Throughout the book, you will see how every stage of software development is modernized with the most up-to-date technologies and the most effective project management approaches. WHAT YOU WILL LEARN ¿ Learn about the Packaging code and all its dependencies in a container. ¿ Utilize DevOps to automate every stage of software development. ¿ Learn how to create Microservices that are focused on a specific issue. ¿ Utilize Kubernetes to containerize applications in a variety of settings. ¿ Using DataOps, you can align people, processes, and technology. WHO THIS BOOK IS FOR This book is meant for the Software Engineering team, Data Professionals, IT Operations and Application Development Team with prior knowledge in software development. Nº de ref. del artículo: 9789355511966

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