Setting up Meta ETL with ADF
When faced with the task of copying vast amounts of objects, such as thousands of tables, or loading data from a diverse range of sources, an effective approach is to leverage a control table that contains a list of object names along with their required copy behaviors. By employing parameterized pipelines, these object names and behaviors can be read from the control table and applied to the jobs accordingly. “Copy behaviors” refer to the specific actions or configurations associated with copying each object. These behaviors can include parameters such as source and destination locations, data transformation requirements, scheduling preferences, error-handling strategies, and any other settings relevant to the copying process.
Unlike traditional methods that require redeploying pipelines whenever the objects list needs modification (e.g., adding or removing objects), utilizing a control table allows for swift and straightforward updates...