Data Engineering with AWS
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology Books > Computer programming / software engineering > Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms (English Edition)
Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms (English Edition)

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


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

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. ● Implement enterprise security and governance strategies. WHO THIS BOOK IS FOR 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. TABLE OF CONTENTS 1. Modern Data Engineering Landscape 2. Building Data Lake Foundations 3. Data Formats and Storage Optimization 4. Real-time Data Ingestion and Streaming 5. Batch Data Processing 6. Data Transformation and Quality 7. Data Warehouse Engineering with Redshift 8. Modern Data Architecture Patterns 9. Data Governance and Security 10. Cross-boundary Data Sharing and Collaborations 11. Analytics and Visualization 12. Machine Learning Integration 13. DataOps and Automation 14. GenAI Revolution in Data Engineering 15. Future-Proofing Data Platforms Appendix: Performance Tuning Guide


Best Sellers


Product Details
  • ISBN-13: 9789365892291
  • Publisher: BPB Publications
  • Publisher Imprint: BPB Publications
  • Edition: Digital original
  • No of Pages: 446
  • ISBN-10: 9365892295
  • Publisher Date: 06 Jul 2025
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: A practical guide to building scalable and secure enterprise data platforms (English Edition)


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms (English Edition)
BPB Publications -
Data Engineering with AWS: A practical guide to building scalable and secure enterprise data platforms (English Edition)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

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

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    Your IP: 216.73.216.21 IN