Metric Data Sources: import multiple tables for warehouse-native experimentation

Metric Data Sources is a new feature introduced in LaunchDarkly's warehouse-native experimentation product, designed to enhance the flexibility of experimentation metrics by allowing teams to use their existing data schemas without restructuring them into a single event table. This capability addresses previous challenges where teams had to centralize metric events into a uniform schema, often leading to data reshaping or duplication. By enabling users to map their own tables to the required fields for experimentation within their data warehouses, Metric Data Sources facilitate the integration of multiple tables and the evolution of data models without altering existing strategies. The feature supports the use of SQL queries to define specific events and allows multi-context data, making it easier for teams to scale experimentation efforts while using their warehouse as the primary data source.