Feature Store
A feature store manages reusable input variables for machine learning models.
Category
Data Ops Pipeline
These words describe the moving parts that store features, catch drift, index embeddings, and move records.
How to recognize this theme
Terms for keeping model and product data healthy.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Schema Drift
Schema drift is an unexpected change in the shape or meaning of data over time.
Vector Index
A vector index organizes embeddings so similar items can be searched quickly.
ETL Pipeline
An ETL pipeline extracts, transforms, and loads data between systems.