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dbt Cloud is the fastest and most reliable way to deploy dbt for scalable data transformation, while dbt Core powers open-source transformation workflows. Together, they provide a seamless analytics engineering experience. Explore our step-by-step guides, quickstart tutorials, and troubleshooting resources to get started with dbt and your data platform.

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dbt Quickstarts

Quickstart for dbt Cloud and Amazon Athena

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Quickstart for dbt Cloud and Azure Synapse Analytics

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Quickstart for dbt Cloud and BigQuery

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Quickstart for dbt Core using GitHub Codespaces

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Quickstart for dbt Cloud and Databricks

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Quickstart for the dbt Explorer workshop

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Quickstart for dbt Core from a manual install

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Quickstart with dbt Mesh

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Quickstart for dbt Cloud and Microsoft Fabric

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Coalesce: Quickstart for dbt Cloud CLI

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Quickstart for dbt Cloud and Redshift

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Quickstart for the dbt Cloud Semantic Layer and Snowflake

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Quickstart for dbt Cloud and Snowflake

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Quickstart for dbt Cloud and Starburst Galaxy

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Quickstart for dbt Cloud and Teradata

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Most popular

Build, test, document, and promote adapters

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Airflow and dbt Cloud

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Move from dbt Core to dbt Cloud: Get started

Total estimated time: 3-4 hoursStart

Debug errors

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Use Jinja to improve your SQL code

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Advanced use cases

Create new materializations

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Customize dbt models database, schema, and alias

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Debug schema names

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Refactoring legacy SQL to dbt

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Use Jinja to improve your SQL code

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