dbt

dbt.

Data transformation tool combining SQL and software engineering best practices. The standard for analytics engineering.

By dbt Labs

What is dbt?

dbt (data build tool) is the standard for data transformation in modern data stacks. It combines SQL with software engineering best practices like version control, testing, and documentation. With dbt, you write transformations as SQL models that are automatically executed, tested, and documented in your data warehouse.

How Motran uses dbt.

Motran builds data transformation layers with dbt that convert raw data into structured, reliable datasets for analysis and AI. We design modular SQL models with built-in tests and documentation, ensuring data quality is guaranteed. dbt bridges the gap between raw source data and the clean datasets feeding our AI models and dashboards.

How dbt adds value.

Data transformations

Data transformations: raw data from sources is converted into structured, analysed datasets via reusable SQL models.

Analytics engineering

Analytics engineering: data models are built with software engineering practices like version control, code review, and automated tests.

Data quality control

Data quality control: built-in tests automatically validate data integrity, uniqueness, and referential constraints with every run.

Sector benefits.

dbt is indispensable for enterprises and data-driven organisations needing reliable data for AI and analytics. Financial services benefit from auditable data transformations, retail from consistent sales reporting, and any organisation deploying AI from clean, validated datasets as input for models.

More Data Engineering tools.

Frequently asked questions.

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