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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 – ingesting data with AWS DMS

As we discussed earlier in this chapter, AWS DMS can be used to replicate a database into an Amazon S3-based data lake (among other uses). Follow the steps in this section to do the following:

  • Create a new MySQL database instance in your account.
  • Load a MySQL demo database using an EC2 instance.
  • Set up a DMS replication instance and configure endpoints and tasks.
  • Run the DMS full-load.
  • Run a Glue Crawler to add the tables that were newly loaded into S3 into the data catalog.
  • Query the data with Amazon Athena.

    Note

    The following steps assume the use of your AWS account's default VPC and security group. You will need to modify the steps as needed if you're not using the default.

Creating a new MySQL database instance

First, we will create a new MySQL database using the default easy create settings for a free tier eligible database instance:

  1. Log into the AWS Management Console (https:/...
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