Data Engineering with AWS : A practical guide to building scalable and secure enterprise data platforms (English Edition)

Language: English

Published by BPB Publications, 2025

9365890969 / 9789365890969

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

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - Data engineering and AWS form the backbone of modern enterprise data architecture, enabling organizations to harness the exponential growth of data for competitive advantage. As businesses generate petabytes of information daily, the ability to build scalable, secure, and cost-effective data platforms has become critical for survival in today's data-driven economy.This comprehensive guide takes you through the complete journey of building enterprise-grade data platforms on AWS. You will understand data lake foundations with S3, implement real-time streaming with Kinesis, and optimize batch processing using Glue. The book covers advanced topics, including data warehouse engineering with Redshift, modern architectural patterns like data mesh, and cross-boundary data sharing strategies. The guide explores the GenAI revolution transforming data platforms from human-centric to AI-native systems, covering enhanced medallion architectures that serve both traditional analytics and generative AI workloads.By the end of this book, you will be able to design and build scalable, secure, and cost-effective data platforms on AWS. You will master the skills to process massive datasets, implement enterprise-grade security, and architect solutions for real-time analytics and ML workflows, ultimately driving significant business value.WHAT YOU WILL LEARN¿ Build petabyte-scale data lakes using S3 and Lake Formation.¿ Implement real-time streaming pipelines with Kinesis and Lambda.¿ Design cost-optimized data warehouses using Amazon Redshift.¿ Create modern data mesh architectures on AWS.¿ Master DataOps practices with CI/CD and IaC.¿ Architect GenAI-native platforms with enhanced medallion architectures.¿ Integrate ML pipelines using SageMaker and Glue.WHO THIS BOOK IS FORThis book is ideal for data engineers, cloud architects, DevOps engineers, and solutions architects building data platforms on AWS. Data scientists, ML engineers, and technical managers seeking to understand modern data infrastructure implementation will also find immense value.…

Seller Inventory # 9789365890969

Title
Data Engineering with AWS : A practical guide to building scalable and secure enterprise data platforms (English Edition)
Author
Sanjiv Kumar Jha
Publisher
BPB Publications
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9365890969
ISBN 13
9789365890969
Item weight
1,119 grams
Dimensions
280x216x24 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$ 48.57US$ 66.26
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