Determine auditing or lineage requirements

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One important criteria for success for any data warehouse project is to deliver data that is trustworthy. Data can be trusted if you understand where it originates and what happens to it as it goes through the extract, transform, and load (ETL) process. Data lineage provides an audit trail of the data from its origin to its destination.

Data lineage involves maintaining metadata repositories and auditing interactions with the data as it flows from its origin to its destination. A metadata repository can include information about the source and target systems, data types, data mappings, filters, business rules, transformations, and aggregations applied to the data in the different data flows.

Some ETL tools like SQL Server Integration Services (SSIS), provide a graphical representation of data flows and keep track of the data lineage between source and destinations through its internal metadata discovery and tracking mechanisms. SSIS allows you to implement your own auditing framework and provides native logging capabilities as well.
Exam 70-767

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