Best practices for Python integration with AWS S3 Tables without Spark dependency
Hi Team, How to integrate AWS S3 Tables directly with Python without relying on Apache Spark? My customer is looking for a simpler and more efficient solution to read and write large volumes of data in Iceberg tables using pure Python. Does anyone have experience with Bodo or know of other alternatives to work with S3 Tables in Python in a more direct and performant way?
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- Storage
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asked a year ago482 views
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Hello,
The AWS Glue Iceberg REST endpoint provides a standardized interface for interacting with Iceberg tables. Fully aligned with the Iceberg REST Catalog Open API specification, the Glue Iceberg REST endpoint streamlines interoperability. This enables users to interact with Iceberg tables through a single, unified standard set of REST APIs across various engines, languages, and platforms. This, in conjunction with the enhanced performance of Amazon S3 Tables, automated table maintenance, and streamlined security features, provides a strong foundation for users to build and scale data lakes on AWS.
See below reference for working implementation on how to leverage AWS Glue Iceberg REST endpoint.
References :
answered a year ago
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