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Use open table format libraries on AWS Glue 5.0 for Apache Spark
- Open table formats such as Apache Hudi, Apache Iceberg and Delta Lake provide a standardized framework for data representation, offering flexibility, performance and governance capabilities.
- AWS Glue 5.0 for Apache Spark has added support for Iceberg 1.6.1, enabling management of data lifecycle with flexible branching and tagging options, and controlled deletion of snapshots.
- Delta Lake 3.2.1 on AWS Glue 5.0 includes optimized writes, deletion vectors to reduce write operations, and UniForm providing universal access to Delta tables through Iceberg and Hudi.
- Apache Hudi 0.15.0, in AWS Glue 5.0, offers Record Level Index that enhances write and read operations, automatic primary key generation, and change data capture (CDC) queries, permitting all mutating operations on records.
- The adoption of open table formats is an essential component of data-driven organizations for improved data management practices and maximum value extraction.
- AWS Glue 5.0 upgrades enable users to create new jobs and enhance existing job features for closer integration and management of open table formats.
- Open table formats are emerging as essential components for successful and competitive data strategies, addressing the persistent Data silos, data consistency, query efficiency, and governance challenges.
- AWS Glue 5.0 adds significant functionality to the popular open table formats Apache Hudi, Apache Iceberg and Delta Lake, to optimize data management practices.
- Users of new AWS Glue 5.0 version can take advantage of the enhanced features for better data management and analysis at scale.
- Open table formats enhance data quality and contribute to flexible management of data, making them indispensable for organizations with complex data requirements and exponential data growth.
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