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Data Abstraction Layer for Unified Data Access

1 post · Jun 2026

What this trail covers

Uber has developed a Data Abstraction Layer (DAL) to simplify data integration and product development. The DAL acts as an RPC service between data consumers and producers, abstracting away the complexity of underlying data models and storage. It enables consumers to request data using a consistent interface, while empowering data producers to evolve their data models independently. The DAL orchestrates queries across various data sources, including OLAP, Hive, and MySQL, and handles table resolution and query generation to satisfy consumer requests, significantly reducing the time to build new reports and enabling dynamic metric rollups.

All Uber trails
  1. Simplifying Data and Product Integrations with a Data Abstraction LayerThis post details the implementation of Uber's Data Abstraction Layer (DAL), an RPC service designed to abstract data complexity between consumers and producers. It explains the DAL's architecture, including its metadata and query engine components, and the process of requesting data via a FetchData endpoint. The post elaborates on table resolution, a multi-phase process that identifies eligible physical tables based on schema, availability, and column continuity, and details query generation and execution across diverse data sources like OLAP, Hive, and MySQL. The DAL's ability to handle dynamic metric rollups based on requested dimensions is highlighted as a key benefit.