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Combining DataOps, MLOps and DevOps :outperform analytics and software development with expert practices on process optimization and automation /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Combining DataOps, MLOps and DevOps :/ Dr. Kalpesh Parikh, Amit Johri.
其他題名:	outperform analytics and software development with expert practices on process optimization and automation /
作者:	Parikh, Kalpesh.
其他作者:	Johri, Amit.
出版者:	London :BPB Publications,c2022.
面頁冊數:	xxv,372 p. :ill. ;24 cm.
標題:	Data structures (Computer science) -
ISBN:	9789355511911

Combining DataOps, MLOps and DevOps :outperform analytics and software development with expert practices on process optimization and automation /
Parikh, Kalpesh.

Combining DataOps, MLOps and DevOps :outperform analytics and software development with expert practices on process optimization and automation /Dr. Kalpesh Parikh, Amit Johri. - London :BPB Publications,c2022. - xxv,372 p. :ill. ;24 cm.

Includes bibliographical references and index.

"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."-- adapted from jacket.

ISBN: 9789355511911NT892Subjects--Topical Terms:

148176
Data structures (Computer science)

Dewey Class. No.: 005.1

Combining DataOps, MLOps and DevOps :outperform analytics and software development with expert practices on process optimization and automation /
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245 1 0 $a Combining DataOps, MLOps and DevOps : $b outperform analytics and software development with expert practices on process optimization and automation / $c Dr. Kalpesh Parikh, Amit Johri.
260 $a London : $b BPB Publications, $c c2022.
300 $a xxv,372 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 $a "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."-- adapted from jacket.
650 0 $a Data structures (Computer science) $3 148176
650 0 $a Information resources management $x Data processing. $3 149821
650 0 $a Computer software $x Development. $3 148356
650 0 $a Machine learning. $3 147118
650 0 $a Computer programming. $3 148134
700 1 $a Johri, Amit. $3 1000148721