Data Engineering with AWS by Sanjiv Kumar Jha (.ePUB)
File Size: 11.5 MB
Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms by Sanjiv Kumar Jha
Requirements: .ePUB reader, 11.5 MB
Overview: 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. This 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.
Genre: Non-Fiction > Tech & Devices
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