Netflix adopts DataJunction open source semantic layer for experimentation
Netflix uses the DataJunction open-source metric platform to centralize and standardize metric definitions within its experimentation workflows.
Summary
Netflix has implemented DataJunction, an open-source semantic layer, to solve challenges related to scattered and inconsistently defined metrics. The platform helps the company's Experimentation Platform team by providing a centralized way to manage metric definitions through a connected graph and SQL engine. This move aims to reduce the weeks-long metric authoring process previously required for data scientists and analytics engineers.
Why Netflix chose DataJunction
- Features a SQL parsing and SQL generation engine for easier data wrangling.
- Stores all metric definitions in a connected graph, similar to how relational databases manage metadata.
- Provides a semantic layer that abstracts metric definitions from the underlying statistics computation platforms.
- Enables seamless migrations by separating metric logic from the execution engine.
Why it matters
The adoption highlights the growing importance of open-source semantic layers in managing complex big data infrastructures within large-scale engineering organizations.
Original reference: netflixtechblog.com →