43. AWS Glue Job Bookmark Tutorial | Reset, Rewind & Incremental Loads

code used : https://github.com/bedwalsanjay/aws-d... In this video, you'll learn everything you need to know about AWS Glue Job Bookmarks and how they help implement incremental data processing in your ETL pipelines. We start by understanding what Job Bookmarks are, why they are important, and how AWS Glue keeps track of previously processed data. You'll then see a hands-on demonstration using files stored in Amazon S3, where we observe how Glue processes only new files during subsequent job runs. The video also covers Glue Bookmark Reset and Rewind operations, explaining when to use them and how they affect data processing. These features are extremely useful when reprocessing historical data, testing ETL jobs, or recovering from processing issues. Topics Covered What are AWS Glue Job Bookmarks? Why Job Bookmarks are important Incremental vs Full Data Processing How Glue tracks processed files S3-based Job Bookmark demonstration Processing only newly arrived files Resetting Glue Job Bookmarks Rewinding Glue Job Bookmarks Reprocessing historical data Best practices for AWS Glue ETL jobs This tutorial is ideal for Data Engineers, ETL Developers, AWS Engineers, and anyone preparing for AWS Data Engineering interviews or certifications. If you found this video helpful, consider liking, sharing, and subscribing for more AWS Glue, PySpark, Snowflake, dbt, and Data Engineering tutorials. #AWSGlue #DataEngineering #AWSDataEngineer #ETL #PySpark #AmazonS3 #CloudComputing #BigData #AWSTutorial #datalake