Kubernetes for MLOps and Data Engineering : Building Scalable Machine Learning and Data Systems

Language: English

Published by Independently Published Jun 2026, 2026

9798181579002

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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Neuware - Master the technologies powering modern AI and data-driven organizations. Kubernetes for MLOps and Data Engineering is a practical guide to building, deploying, and managing scalable machine learning and data platforms using Kubernetes. Whether you're an MLOps engineer, data engineer, machine learning practitioner, DevOps professional, or cloud architect, this book provides the knowledge and real-world strategies needed to move from experimentation to production with confidence. Inside, you'll learn how to: \* Build and manage Kubernetes-based ML platforms\* Deploy and scale machine learning workloads efficiently\* Orchestrate data pipelines with modern cloud-native tools\* Implement Kubeflow, MLflow, Airflow, Spark, and Kafka workflows\* Automate CI/CD pipelines for machine learning systems\* Monitor, secure, and optimize production AI infrastructure>Packed with practical insights, industry best practices, and production-focused guidance, this book helps you bridge the gap between data science and reliable enterprise deployment. If you're ready to build resilient, scalable, and future-ready AI infrastructure, this book will give you the roadmap to get there. Get your copy today and start mastering Kubernetes for modern MLOps and Data Engineering.…

Seller Inventory # 9798181579002

Title
Kubernetes for MLOps and Data Engineering : Building Scalable Machine Learning and Data Systems
Author
Ron M. Carr
Publisher
Independently Published Jun 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798181579002
Item weight
276 grams
Dimensions
279x216x6 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.18US$ 50.38
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