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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

Concepts

Data Engineering

Author (1):

Gareth Eagar

Table of Contents (24) Chapters

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

Index

A

Access Key ID 48

ACID semantics 223

ACID transactions 351

atomicity 444

consistency 445

durability 445

isolation 445

Active Directory (AD) 375

advanced Athena functionality

exploring 347

advanced features, Delta Lake

Delta Lake Change Data Feed (CDF) 452

Delta Lake Shallow clones 451

Delta Lake Z Ordering 451

advanced Redshift features

exploring 290

Agile approach 527

Airbnb 343

Airflow Connections 315

Airflow Hooks 314

Airflow Operators 314

Airflow Sensors 314

Airflow Service Level Agreements (SLAs) 529

Airflow Tasks 314

Airplane Health Management (AHM) 183

alerts 529

Amazon AppFlow 43

for ingesting data, from SaaS services 62

Amazon Athena 45, 81, 249, 264, 337-340

capacity, provisioning for queries 352, 353

for Apache Spark 82, 350, 351

for SQL queries in data lake 81

open table format support 463, 464

settings, configuring 357, 358, 359...

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Authors (1)

Gareth Eagar

Gareth Eagar has over 25 years of experience in the IT industry, starting in South Africa, working in the United Kingdom for a while, and now based in the USA. Having worked at AWS since 2017, Gareth has broad experience with a variety of AWS services, and deep expertise around building data platforms on AWS. While Gareth currently works as a Solutions Architect, he has also worked in AWS Professional Services, helping architect and implement data platforms for global customers. Gareth frequently speaks on data related topics.

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