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Serverless ETL and Analytics with AWS Glue

You're reading from  Serverless ETL and Analytics with AWS Glue

Product type Book
Published in Aug 2022
Publisher Packt
ISBN-13 9781800564985
Pages 434 pages
Edition 1st Edition
Languages
Authors (6):
Vishal Pathak Vishal Pathak
Profile icon Vishal Pathak
Subramanya Vajiraya Subramanya Vajiraya
Profile icon Subramanya Vajiraya
Noritaka Sekiyama Noritaka Sekiyama
Profile icon Noritaka Sekiyama
Tomohiro Tanaka Tomohiro Tanaka
Profile icon Tomohiro Tanaka
Albert Quiroga Albert Quiroga
Profile icon Albert Quiroga
Ishan Gaur Ishan Gaur
Profile icon Ishan Gaur
View More author details

Table of Contents (20) Chapters

Preface Section 1 – Introduction, Concepts, and the Basics of AWS Glue
Chapter 1: Data Management – Introduction and Concepts Chapter 2: Introduction to Important AWS Glue Features Chapter 3: Data Ingestion Section 2 – Data Preparation, Management, and Security
Chapter 4: Data Preparation Chapter 5: Data Layouts Chapter 6: Data Management Chapter 7: Metadata Management Chapter 8: Data Security Chapter 9: Data Sharing Chapter 10: Data Pipeline Management Section 3 – Tuning, Monitoring, Data Lake Common Scenarios, and Interesting Edge Cases
Chapter 11: Monitoring Chapter 12: Tuning, Debugging, and Troubleshooting Chapter 13: Data Analysis Chapter 14: Machine Learning Integration Chapter 15: Architecting Data Lakes for Real-World Scenarios and Edge Cases Other Books You May Enjoy

To get the most out of this book

All walkthroughs will require a web browser (Google Chrome, Mozilla Firefox, Microsoft Edge, or Safari) installed on a computer in order to use AWS Management Console, and you’ll need an AWS account to access the AWS Console and utilize AWS resources. Next to that, you’ll need to install the AWS Command Line Interface (AWS CLI) on a computer to run commands:

Not all the chapters’ walkthroughs require an AWS CLI installation. You’ll be informed in each chapter when you need further requirements.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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