Indexing the Data Lake for Online Point Queries
Spotify and others leverage RAP to optimize point queries in data lakes.
Companies like Spotify require vast amounts of data to be accessible at low latency for online services and AI agents. These services need to quickly retrieve user data for queries, which necessitates efficient point queries over large datasets. The Random Access Parquet (RAP) approach enhances query speed by mapping keys directly to file locations, facilitating rapid access to necessary data.