This text discusses the importance of data lineage, a tool used to track the journey of data from its source to its destination. It showcases how to leverage dlt (data lineage toolkit) and dbt (data build tool) to create table, row, and column lineage for data loaded into BigQuery. The demo project involves loading sales data from Shopify and a physical store into BigQuery, creating a fact_sales table using dbt, and visualizing the data lineage in Metabase. The text highlights how dlt load_info provides an alternative solution to visualizing data lineage by tracking changes in the underlying data schema. It also mentions that although dlt currently does not support data flow diagrams, it can be used to create dashboards that provide an overview of table, row, and column lineage for loaded data.