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Serverless ETL and Analytics with AWS Glue
book

Serverless ETL and Analytics with AWS Glue

by Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
August 2022
Intermediate to advanced
434 pages
10h 34m
English
Packt Publishing
Content preview from Serverless ETL and Analytics with AWS Glue

Chapter 9: Data Sharing

When you build a cloud-native data platform at scale on AWS, you may want to share your data with multiple stakeholders under governance. Today, data sharing is one of the key topics in data democratization for making business decisions driven by data and driving business. Typically, the data platform is used by different users, such as data engineers, business analysts, and data scientists.

For example, data engineers own the data platform and maintain it, business analysts generate a daily report that represents business revenue and end user activities, and data scientists may want to unveil complex data patterns and build a data model for their applications. In such situations, these users can belong to different ...

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Publisher Resources

ISBN: 9781800564985Supplemental Content