Trust your data! Column and row level lineages, an explainer and a recipe.

The dlt framework provides a robust solution for achieving row and column level lineage, which is crucial for maintaining data integrity, validation, and troubleshooting. By utilizing unique identifiers like _dlt_id and _dlt_parent_id, dlt enables precise tracing of data from source to destination, providing essential details for tasks like data validation, debugging, and compliance. Additionally, leveraging column schema properties such as name, data type, and is_variant reveals column transformations, offering insights into data manipulation throughout the pipeline. By combining row and column level lineage, organizations can gain a holistic view of data's journey, facilitating effective troubleshooting, validation, and compliance checks, and ultimately constructing transparent and reliable data pipelines.

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