End to end validation of data transformation accuracy
Data is validated as it travels through the different nodes of a data pipeline. Instead of having to wait to validate the data when the data reaches an end of the data pipeline, each node in the pipeline may validate the data. Different methods may be used to validate the data. For example, each node may determine metadata about the received data and/or the transformed data. This metadata may be used to determine if the node is receiving the same amount of data as it usually receives, whether the data is in a same format, and the like. A timing of the data through one or more of the nodes may also be used in determining when the data is valid. When a problem is detected at any of the nodes in the pipeline, a report may be sent to one or more users.
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Felix Rustam Jungrak Art
Deschamps Lalkaka Kim Sadovsky