Let's Break down data lineage
When it comes to ensuring the integrity of data, it is critical that you have detailed information on how data is being used by various stakeholders. Data lineage helps you document and track the end-to-end flow of information. Data lineage is the documentation of every process, location, or source that data goes through.
Why does data lineage matter?
Data lineage describes the value and importance of the data journey from its original source to its current location. This might involve tracking a dataset whose format has changed, abstracting some of the data into a more generic form without losing fidelity, or generating metadata about the datasets that are referenced by other datasets.
Top 3 benefits of Data lineage
• Operational Intelligence: The mapping of a rapidly growing number of data pipelines in an organization that help analyze which data sources contribute to the greater number of downstream sources. This helps the teams within an organization to better enforce data governance policies. Data analysts need to know where data comes from and lineage shows them the step-by-step history of data.
• Business Terminology consistency: Data lineage aids data consumers to find common business terms, review definitions, and determine where there are inconsistencies in the way the terms are being used.
• Impact Analysis: Where there are changes made to the data environment within an
organization, impact analysis is crucial to assess the impact on the enterprise application landscape. Data lineage helps identified the processes and applications that are affected by such changes.