dbt (Data Build Tool)
A SQL-based transformation framework for the modern data stack that brings software engineering practices to analytics.
dbt (Data Build Tool) is a SQL-based transformation framework for the modern data stack that brings software engineering practices — version control, testing, modularity, documentation — to analytics. Analysts write modular SELECT statements; dbt compiles them into materialized tables and views in the data warehouse. dbt has become the de facto standard for in-warehouse transformation, with mature ecosystems for testing, documentation, and lineage. dbt Core is open-source; dbt Cloud is the commercial managed offering. Empire325 dbt implementations follow a layered architecture (staging → intermediate → marts) aligned to dimensional modeling principles.
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Data Transformation
Data warehousing, attribution modeling, and analytics pipelines that unify marketing, sales, and product telemetry.
Explore Data Transformation →Related terms
Data Warehouse
A centralized repository of structured, integrated data from multiple sources, optimized for analytics.
ETL and ELT
Patterns for moving data from sources to analytical stores: ETL transforms before loading; ELT loads first.
First-Party Data
Customer data a company collects directly from its own properties, apps, and interactions.
Customer Data Platform (CDP)
Software that unifies customer data from multiple sources into persistent, accessible profiles.