Guide

The Ultimate Guide to Evaluating Data Lineage: 19 Questions and Gotchas

The Ultimate Guide to Evaluating Data Lineage: 19 Questions and Gotchas

Pages 20 Pages

This guide outlines 19 essential questions for assessing a data lineage platform, focusing on depth, breadth, automation, scalability, and real-world usability. It explains why lineage is vital for root-cause analysis, impact analysis, governance, and cross-team collaboration. The paper stresses the importance of SQL parsing, column-level lineage, BI field-level lineage, cloud-native scale, metadata enrichment, and built-in collaboration features. It provides practical criteria, pitfalls, and evaluation tips for modern data teams.

Join for free to read