What should you do to ensure that only the latest version of each row is present in the dataset when using APPEND transaction type for incremental syncs?

To ensure that only the latest version of each row is present in the dataset while using the APPEND transaction type for incremental syncs, configuring another tool in Foundry, such as Transforms, to clean the data is essential. This approach allows you to systematically identify and handle duplicates or outdated records that might be present after each incremental sync.

By implementing data transformations, you can establish rules that will filter out older versions of rows, effectively ensuring that only the most current data remains in the dataset. This process maintains data integrity without requiring a complete overhaul of the syncing method, which allows for incremental updates to continue functionally as intended.

Utilizing a dedicated tool for data cleaning is a best practice in data engineering, as it separates concerns and allows for more flexible and reusable data management workflows. This helps improve efficiency and reduces the risk of data inconsistency in the long term.