Metrics layers: past, present, future

This post provides a historical overview and future outlook on the 'metrics layer' concept in data analytics. It details the problems with inconsistent metric definitions in the past, the rise of dbt and its approach to defining models, and the challenges faced by dedicated metrics layer startups like Transform. The acquisition of Transform by dbt Labs is presented as a strategic move to integrate a mature metrics layer (MetricFlow) with dbt's widespread adoption, aiming to solve the chicken-and-egg problem and standardize metric definitions across the data stack.