Lineage and Blast Radius

Concepts covered: paLineage, paBlastRadius

Lineage is the graph of which datasets depend on which others. Read it forward and it answers 'who consumes this table.' Read it backward and it answers 'what produced this column.' Both directions matter operationally. Without lineage, an engineer changing a column has no way to know who breaks; without lineage, an engineer debugging a wrong number has no way to know which pipeline to inspect first. Lineage is the difference between a five-minute fix and a five-hour fix. Forward Lineage and Blast Radius Forward lineage answers the question 'if this changes, what else changes.' A column rename in fct_orders looks small until forward lineage shows that 17 dbt models, 4 dashboards, and 2 ML feature definitions read from it. The blast radius is the size of the change in consumer-facing terms.

About This Interactive Section

This section is part of the Pipeline Operations: Intermediate lesson on DataDriven, a free data engineering interview prep platform. Each section includes explanations, worked examples, and hands-on code challenges that execute in real time. SQL queries run against a live PostgreSQL database. Python runs in a sandboxed Docker container. Data modeling problems validate against interactive schema canvases. All content is framed around what data engineering interviewers actually test at companies like Meta, Google, Amazon, Netflix, Stripe, and Databricks.

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