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  • Format: ePub

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
…mehr

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 3.1MB
Produktbeschreibung
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.

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.

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.

AUTHOR BIO

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.

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, Examiner for Diploma / UnderGraduate / Graduate / PostGraduate programs in Engineering, Computer Science, Computer Applications, IT, BioInformatics, Management, Business Administration.


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