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You can define user transformations in the Configuration Plane of your RudderStack setup. Few sample user transformations are available on our GitHub. This blog provides an insight into one such sample transformation that you can use for:
Dealing with event data is dirty work at times. Developers may transmit events with errors because of a change a developer made. Also, sometimes errors could be introduced if the data engineering team decides to change something on the data warehouse schema. Due to these changes to the schema, data type conflict may occur. How can someone deal with all the different event data issues that might arise in a production environment? This blog discusses how RudderStack handles event filtering and value aggregation without introducing manual errors.
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