By Tao Feng, Jin Hyuk Chang, Tamika Tannis, Daniel Won In a modern data-driven company like Lyft, every interaction on the platform is powered by data. The challenges that arise from complex data generation, ETL processes, and analytics make metadata significantly important. Moreover, the types of data resources are constantly increasing. At Lyft, these resources include SQL tables and views in Re