AWS Glue 5.0 Announced: What's New and Why You Should Upgrade

Summary

AWS Glue 5.0 introduces major updates to improve speed, cost efficiency, and compatibility with open-source data formats. It supports Apache Spark 3.5.2, Python 3.11, and Java 17, providing a 32% performance boost and reducing costs by 22%. New features include integration with AWS Lake Formation for fine-grained access control, enhanced support for open table formats like Delta Lake, and better AWS S3 access management. Additionally, AWS Glue 5.0 supports Amazon SageMaker Unified Studio and Lakehouse integration, simplifying analytics and machine learning tasks. Upgrading is straightforward, either through the visual ETL interface or script editor.

Takeaways

• 😀 AWS Glue 5.0 introduces major performance improvements, reducing job execution time by 32% and cost by 22%.
• 😀 AWS Glue 5.0 now supports Apache Spark 3.5.2, Python 3.11, and Java 17 for enhanced performance and compatibility.
• 😀 The new AWS Glue version offers support for popular open-source data formats like Delta Lake, Iceberg, and Hudi (0.15.0, 1.61, 3.2.1).
• 😀 Glue 5.0 integrates with AWS Lake Formation for fine-grained access control, enabling more precise governance over data lakes and warehouses.
• 😀 AWS Glue 5.0 allows users to manage AWS S3 data access automatically via S3 access grants, reducing the need for complex bucket policies.
• 😀 Glue 5.0 adds support for Amazon SageMaker Unified Studio, enabling unified access for both ETL workflows and machine learning tasks.
• 😀 The new version of Glue also features integrated data lineage support in Amazon DataZone for better tracking of data transformations and flow.
• 😀 Glue jobs can now easily upgrade to the latest version by simply selecting Glue 5.0 in the job settings, ensuring users can easily transition.
• 😀 AWS Glue 5.0 improves resource efficiency with optimized job execution, which helps reduce overhead and improve ETL performance.
• 😀 With AWS Glue 5.0, you can now handle massive datasets at a significantly lower cost, thanks to its enhanced performance and new features.
• 😀 Users should ensure compatibility with Python 3.11 when upgrading existing Glue jobs, as AWS Glue 5.0 now uses this version of Python.

Q & A

What are the major improvements introduced in AWS Glue 5.0?

AWS Glue 5.0 introduces significant improvements in speed, cost efficiency, and compatibility with open-source data formats. It also enhances performance, reduces costs, and improves integration with AWS services.

How does AWS Glue 5.0 improve performance compared to version 4.0?

AWS Glue 5.0 is reported to be 32% faster than Glue 4.0, thanks to optimized job execution and the use of Apache Spark 3.5.2, Python 3.11, and Java 17.

What cost reductions are seen with AWS Glue 5.0?

AWS Glue 5.0 reduces costs by 22% compared to Glue 4.0, primarily due to improved job execution and a more efficient runtime environment.

Which open-source data formats are updated in AWS Glue 5.0?

AWS Glue 5.0 updates include support for Open Table Formats such as Hudi (version 0.15.0), Iceberg (version 1.6.1), and Delta Lake (version 3.2.1).

How does AWS Glue 5.0 enhance data governance?

AWS Glue 5.0 supports fine-grained access control using Lake Formation for better data governance and also adds integration with AWS S3 access grants to simplify data access management.

What is the significance of Python 3.11 and Java 17 in AWS Glue 5.0?

Python 3.11 and Java 17 in AWS Glue 5.0 provide faster libraries and improved coding efficiencies, contributing to better performance and reduced overhead in ETL processes.

What role does AWS Glue 5.0 play in data lineage and tracking?

AWS Glue 5.0 introduces data lineage support through Amazon DataZone, allowing for automatic tracking of dataset transformations and visualizing the data flow from source to consumption.

What is AWS Glue Studio, and how is it used in AWS Glue 5.0?

AWS Glue Studio is a low-code, graphical interface that allows users to build, visualize, and manage ETL workflows. It simplifies the creation of ETL processes with minimal coding, and it is fully compatible with AWS Glue 5.0.

How does AWS Glue 5.0 integrate with Amazon SageMaker Lakehouse?

AWS Glue 5.0 supports native integration with Amazon SageMaker Lakehouse, enabling unified access across S3 data lakes and Amazon Redshift data warehouses, facilitating the creation of powerful analytics and machine learning applications.

How can users upgrade to AWS Glue 5.0 for their existing jobs?

Users can upgrade existing jobs to AWS Glue 5.0 by selecting it from the Glue version dropdown in the job details section of the AWS Glue console. If new jobs are created, they will default to using AWS Glue 5.0.