Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact

2025-01-26 分类：Kindle Edition 评论(0)

Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact (English Edition)

Ultimate AWS Data Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact (English Edition)

Author:by Rathish Mohan (Author), Shekhar Agrawal (Author), Srinivasa Sunil Chippada (Author)

ASIN:B0DTYPV94H

Publisher finelybook 出版社:‏‎Orange Education Pvt Ltd

Edition 版本:‏N/A

Publication Date 出版日期:‏2025-01-23

Language 语言:English

Print Length 页数:298pages

ISBN-10:9348107941

ISBN-13:9789348107947

Book Description

Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.

Book Description


In today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges.

Throughout the chapters, you’ll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security.

Table of Contents
1. Unveiling the Secrets of Data Engineering
2. Architecting for Scalability: Data Replication Techniques
3. Partitioning and Sharding: Optimizing Data Management
4. Ensuring Consistency: Consensus Mechanisms and Models
5. Balancing the Load: Achieving Performance and Efficiency
6. Building Fault-Tolerant Architectures
7. Exploring the Realm of AWS Data Storage Services
8. Orchestrating Data Flow
9. Advanced Data Pipelines and Transformation
10. Data Warehousing Demystified
11. Visualizing the Unseen
12. AWS Machine Learning: Classic AI to Generative AI
13. Advanced Data Engineering with AWS
Index

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