Title

AWS re:Invent 2022 - Monitor & manage data quality in your data lake with AWS Glue (ANT222)

Summary

AWS Glue is a serverless, scalable, cloud-native data integration service used by over 100,000 customers.
AWS Glue has launched a new feature for data quality management, which was announced during Swami's keynote.
Data quality is critical as poor data can lead to significant financial losses and incorrect business decisions.
AWS Glue Data Quality is designed to be serverless, scalable, and open-source compliant, addressing common data quality management challenges.
It offers over 100 native and marketplace connectors, crawlers for metadata discovery, and various user interfaces for different expertise levels.
AWS Glue Data Quality introduces a new language, DQDL (Data Quality Definition Language), for expressing data quality rules.
The service supports batch and real-time streaming data pipelines and caters to multiple personas, including data stewards and engineers.
AWS Glue Data Quality is available in preview in select regions, with a pay-as-you-go pricing model.
Customers like Wire, United, and RX have expressed positive feedback, and Travelers shared their vision aligning with AWS Glue Data Quality.

AWS Glue Data Quality aims to simplify and automate the process of data quality management, which traditionally requires significant manual effort and expertise.
The introduction of DQDL allows for a declarative way of expressing data quality rules, making it accessible to both technical and business users.
The service's serverless architecture eliminates the need for infrastructure management, making it easier to scale and maintain.
AWS Glue Data Quality's integration into AWS Glue Studio allows data engineers to proactively manage data quality within ETL pipelines.
The pay-as-you-go pricing model aligns with AWS's utility computing philosophy, offering cost savings and flexibility.
The proactive and reactive data quality management approach, as discussed by Travelers, highlights the evolving needs of businesses in real-time decision-making processes.
AWS Glue Data Quality's ability to generate recommendations for data quality rules based on existing data sets can save customers significant time and resources.
The service's support for multiple personas and its integration with other AWS services, like CloudWatch and S3, demonstrate AWS's commitment to providing a comprehensive data management solution.