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Data Engineering with AWS

You're reading from   Data Engineering with AWS Learn how to design and build cloud-based data transformation pipelines using AWS

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800560413
Length 482 pages
Edition 1st Edition
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Author (1):
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Gareth Eagar Gareth Eagar
Author Profile Icon Gareth Eagar
Gareth Eagar
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: AWS Data Engineering Concepts and Trends
2. Chapter 1: An Introduction to Data Engineering FREE CHAPTER 3. Chapter 2: Data Management Architectures for Analytics 4. Chapter 3: The AWS Data Engineer's Toolkit 5. Chapter 4: Data Cataloging, Security, and Governance 6. Section 2: Architecting and Implementing Data Lakes and Data Lake Houses
7. Chapter 5: Architecting Data Engineering Pipelines 8. Chapter 6: Ingesting Batch and Streaming Data 9. Chapter 7: Transforming Data to Optimize for Analytics 10. Chapter 8: Identifying and Enabling Data Consumers 11. Chapter 9: Loading Data into a Data Mart 12. Chapter 10: Orchestrating the Data Pipeline 13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning
14. Chapter 11: Ad Hoc Queries with Amazon Athena 15. Chapter 12: Visualizing Data with Amazon QuickSight 16. Chapter 13: Enabling Artificial Intelligence and Machine Learning 17. Chapter 14: Wrapping Up the First Part of Your Learning Journey 18. Other Books You May Enjoy

Hands-on – configuring Lake Formation permissions

In this hands-on section, we will use the AWS Management Console to configure Lake Formation permissions.

However, before we implement Lake Formation permissions, we're going to create a new data lake user and configure their permissions using just IAM permissions. We'll then go through the process of updating a Glue database and table to use Lake Formation permissions, and then grant Lake Formation permissions to our data lake user.

Configuring the Glue Crawler

While not covered in this chapter, we will provide a hands-on section with details on how to configure the Glue crawler in Chapter 6, Ingesting Batch and Streaming Data.

Creating a new user with IAM permissions

To start, let's create a new IAM user that will become our data lake user. We will initially use IAM to grant our data lake user the following permissions:

  • Permission to access a specific database and table in the Glue data...
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