Synatic uses flows to create integrations across data environments. These flows are made up of a series of steps that will define your data process. There are varying actions that can be employed like reading data from a source, filtering data, transforming to a particular format, calling other systems, writing data to a data source, or sending messages to a destination.
As in traditional programming, you can introduce errors in various ways during the development process or in the live runtime scenario. So, it is obvious that we would want to avoid these errors at all times.
A recommended technique to limit the introduction of errors into your Synatic flows is to develop cautiously and use the test points to test your flows often.
The articles below will discuss how you may "inadvertently" introduce errors or anomalies into a flow and how you can use Synatic's test points to debug and resolve the errors.
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