Product Feature: Torch Reconciliation Policy

Torch offers a data reconciliation policy feature that ensures consistency in data quality across different assets. This helps establish, validate, and maintain the quality of data contained within various sources. The data reconciliation policy allows users to customize based on specific data they want to use for each source. It also enables data teams to join both data sources based on an ID column provided and evaluates conditions specified by the user. Acceldata provides a way to check the integrity of migrated data by comparing source and target datasets, as well as performing RCA on migrated workloads that are not functioning as expected. To configure a reconciliation policy in Torch, users can follow specific steps outlined in the text, including setting up Source & Sink Asset Info, defining rule definitions, scheduling execution, and configuring alert notifications.

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