You're reading from Serverless ETL and Analytics with AWS Glue Your comprehensive reference guide to learning about AWS Glue and its features

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781800564985

Length 434 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Data Analysis

Authors (6):

Vishal Pathak

Ishan Gaur

Tomohiro Tanaka

Albert Quiroga

Subramanya Vajiraya

Noritaka Sekiyama

+2 more

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Table of Contents (20) Chapters

Preface

1. Section 1 – Introduction, Concepts, and the Basics of AWS Glue

2. Chapter 1: Data Management – Introduction and Concepts FREE CHAPTER

3. Chapter 2: Introduction to Important AWS Glue Features

4. Chapter 3: Data Ingestion

5. Section 2 – Data Preparation, Management, and Security

6. Chapter 4: Data Preparation

7. Chapter 5: Data Layouts

8. Chapter 6: Data Management

9. Chapter 7: Metadata Management

10. Chapter 8: Data Security

11. Chapter 9: Data Sharing

12. Chapter 10: Data Pipeline Management

13. Section 3 – Tuning, Monitoring, Data Lake Common Scenarios, and Interesting Edge Cases

14. Chapter 11: Monitoring

15. Chapter 12: Tuning, Debugging, and Troubleshooting

16. Chapter 13: Data Analysis

17. Chapter 14: Machine Learning Integration

18. Chapter 15: Architecting Data Lakes for Real-World Scenarios and Edge Cases

19. Other Books You May Enjoy

Technical requirements

For this chapter, if you wish to follow some of the walkthroughs, you will require the following:

Internet access to GitHub, S3, and the AWS console (specifically the console for AWS Glue, Amazon Step Functions, Amazon Managed Workflows for Apache Airflow, AWS CloudFormation, and Amazon S3)
A computer with Chrome, Firefox, Safari, or Microsoft Edge installed and the AWS Command Line Interface (AWS CLI)

Note

You can use not only the AWS CLI but also AWS CLI version 2. In this chapter, we have used the AWS CLI (not version 2). You can set up the AWS CLI (and version 2) by going to https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html.

You will also need an AWS account and an accompanying IAM user (or IAM role) with sufficient privileges to complete this chapter’s activities. We recommend using a minimally scoped IAM policy to avoid unnecessary usage and making operational mistakes. You can find...

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You're reading from Serverless ETL and Analytics with AWS Glue Your comprehensive reference guide to learning about AWS Glue and its features

Table of Contents (20) Chapters

Technical requirements

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Authors (6)

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