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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
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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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “We used the glueContext.write_dynamic_frame.from_options() method to write the data to Amazon S3.”

A block of code is set as follows:

root
 |-- ColumnA: string (nullable = true)
 |-- ColumnB: string (nullable = true)

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “This can be done by navigating to AWS Glue Studio console | Connectors | Marketplace Connectors and subscribing to Cloudwatch Metrics connector for AWS Glue.”

Tips or Important Notes

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