Serverless ETL and Analytics with AWS Glue - Second Edition
by Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya Vajiraya, Akira Ajisaka, Ishan Gaur
Preface
Data has become the foundation on which organizations build products, serve customers, and make decisions. As data volumes and sources keep growing, the hard part has shifted from collecting data to integrating it: bringing data from dozens of systems together, keeping it clean and trustworthy, and making it available to everyone who needs it, at a cost that makes sense.
AWS Glue tackles this problem in a serverless fashion. It combines a serverless Apache Spark runtime for ETL, a central Data Catalog for metadata, and deep integration with services such as Amazon S3, Amazon Athena, Amazon Redshift, and AWS Lake Formation. There is no infrastructure to provision or manage: you pay for what your workloads consume, and you can scale from ...
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