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Serverless ETL and Analytics with AWS Glue - Second Edition
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Serverless ETL and Analytics with AWS Glue - Second Edition

by Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya Vajiraya, Akira Ajisaka, Ishan Gaur
August 2026
Beginner to intermediate
532 pages
13h 4m
English
Packt Publishing
Content preview from Serverless ETL and Analytics with AWS Glue - Second Edition

7

Implementing Resilient Metadata Management

Just like relational databases, AWS Glue relies on the concepts of databases and tables to organize and manage datasets. That said, these concepts are quite different in their execution. In a relational database, the data to be stored and its descriptors (the schema, comments, and others, also known as metadata) are stored and managed together: there is no way to store data without describing it first, and there is no way to add metadata to already-written data.

In big data environments, the storage and metadata layers are decoupled. There is no centralized storage system because of dataset size limitations, and data is typically dumped without format onto distributed, large-scale systems such as ...

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Publisher Resources

ISBN: 9781835464847