Catalog

Legacy data integration and transformation solutions are often complex, consisting of multiple components stitched together. This complexity makes them expensive to manage and maintain. As a result, data engineers frequently struggle with the administrative overheads of running Extract, Transform, Load (ETL) processes, data discovery, data movement, data transformation, and data cataloging. This chalk talk delves into the engineering details of migrating from traditional ETL solutions to AWS Glue, a serverless data integration service. It explores how you can modernize your data integration approach using AWS Glue, thereby reducing operational costs and streamlining your data management processes.