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tracking changes in a table or implementing cdc or we call it change data capture is a complex design topic in data engineering and data injection space in the traditional data world sometimes it is done via update timestamp where any changes in the table data record the update timestamp and downstream application compare it to identify the changes or a row versioning field where any higher version of row indicate a change the third mechanism is log scanner these approaches are sometimes very complex cumbersome and logic heavy snowflake has a very simple and elegant solution called stream objects and this object makes your cdc implementation a childamp;#39;s play snowflakeamp;#39;s stream object takes a very different approach by adding three additional meta columns on the top of source table that helps to track the changes and by combining the source table and stream object you can track all dml operation and perform any business logic for your downstream system i am sure you will h