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Data Engineering with AWS

You're reading from   Data Engineering with AWS Acquire the skills to design and build AWS-based data transformation pipelines like a pro

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781804614426
Length 636 pages
Edition 2nd Edition
Tools
Concepts
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Author (1):
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Gareth Eagar Gareth Eagar
Author Profile Icon Gareth Eagar
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.nnHaving 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.nnGareth frequently speaks on data related topics.
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Toc

Table of Contents (24) Chapters Close

Preface 1. Section 1: AWS Data Engineering Concepts and Trends
2. An Introduction to Data Engineering FREE CHAPTER 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)

Profile icon Gareth Eagar
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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See other products by Gareth Eagar
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