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Data Engineering with AWS - Second Edition

You're reading from  Data Engineering with AWS - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781804614426
Pages 636 pages
Edition 2nd Edition
Languages
Author (1):
Gareth Eagar Gareth Eagar
Profile icon Gareth Eagar
Toc

Table of Contents (24) Chapters close

Preface 1. Section 1: AWS Data Engineering Concepts and Trends
2. An Introduction to Data Engineering 3. Data Management Architectures for Analytics 4. The AWS Data Engineer’s Toolkit 5. Data Governance, Security, and Cataloging 6. Section 2: Architecting and Implementing Data Engineering Pipelines and Transformations
7. Architecting Data Engineering Pipelines 8. Ingesting Batch and Streaming Data 9. Transforming Data to Optimize for Analytics 10. Identifying and Enabling Data Consumers 11. A Deeper Dive into Data Marts and Amazon Redshift 12. Orchestrating the Data Pipeline 13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning
14. Ad Hoc Queries with Amazon Athena 15. Visualizing Data with Amazon QuickSight 16. Enabling Artificial Intelligence and Machine Learning 17. Section 4: Modern Strategies: Open Table Formats, Data Mesh, DataOps, and Preparing for the Real World
18. Building Transactional Data Lakes 19. Implementing a Data Mesh Strategy 20. Building a Modern Data Platform on AWS 21. Wrapping Up the First Part of Your Learning Journey 22. Other Books You May Enjoy
23. Index

AWS service integrations for building transactional data lakes

AWS services constantly evolve as new services are introduced and existing services have new functionality added. This applies to the AWS analytic services as well, with many of these services introducing support for these new transactional open table formats over the last few years. In this section, we will look at the support for open table formats in various services, as at the time of publishing.

However, make sure to review the latest AWS documentation to understand the latest status of support across the services.

Open table format support in AWS Glue

AWS Glue has broad support for open table formats across the different components of the Glue service. In this section, we examine open table support in two of the key Glue components.

AWS Glue crawler support

As covered earlier in this book, the AWS Glue crawler is a component of the Glue service that can scan a data source (such as Amazon S3...

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