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dbt Cloud is the fastest and most reliable way to deploy your dbt jobs and dbt Core is a powerful open-source tool for data transformations. With the help of a sample project, learn how to quickly start using dbt and one of the most common data platforms.

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Build, test, document, and promote adapters

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Adapter creation
Advanced
Updated

Airflow and dbt Cloud

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dbt Cloud
Orchestration
Intermediate
Updated

Quickstart for dbt Cloud and Azure Synapse Analytics

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dbt Cloud
Quickstart
Beginner
Updated

Quickstart for dbt Cloud and BigQuery

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BigQuery
dbt Cloud
Quickstart
Beginner
Updated

Building dbt packages

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dbt Core
Advanced

Quickstart for dbt Core using GitHub Codespaces

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dbt Core
Quickstart
Beginner
Updated

Move from dbt Core to dbt Cloud: What you need to know

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Migration
dbt Core
dbt Cloud
Intermediate
Updated

Move from dbt Core to dbt Cloud: Get started

Total estimated time: 3-4 hoursStart
Migration
dbt Core
dbt Cloud
Intermediate
Updated

Move from dbt Core to dbt Cloud: Optimization tips

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Migration
dbt Core
dbt Cloud
Intermediate
Updated

Create new materializations

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Advanced
Updated

Customizing CI/CD with custom pipelines

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dbt Cloud
Orchestration
CI
Intermediate
Updated

Customize dbt models database, schema, and alias

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Advanced
Updated

Quickstart for dbt Cloud and Databricks

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dbt Cloud
Quickstart
Databricks
Beginner
Updated

Optimize and troubleshoot dbt models on Databricks

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Databricks
dbt Core
dbt Cloud
Intermediate
Updated

Leverage dbt Cloud to generate analytics and ML-ready pipelines with SQL and Python with Snowflake

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Snowflake
Intermediate
Updated

Debug errors

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Troubleshooting
dbt Core
dbt Cloud
Beginner
Updated

Debug schema names

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dbt Core
Troubleshooting
Advanced
Updated

Build a data lakehouse with dbt Core and Dremio Cloud

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Dremio
dbt Core
Intermediate
Updated

Quickstart for the dbt Explorer workshop

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Explorer
Snowflake
dbt Cloud
Quickstart
Beginner
Updated

Use Databricks workflows to run dbt Cloud jobs

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Databricks
dbt Core
dbt Cloud
Orchestration
Intermediate

Quickstart for dbt Core from a manual install

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dbt Core
Quickstart
Beginner

Quickstart with dbt Mesh

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dbt Cloud
Quickstart
Intermediate
Updated

Quickstart for dbt Cloud and Microsoft Fabric

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dbt Cloud
Quickstart
Beginner
Updated

Migrate from dbt-spark to dbt-databricks

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Migration
dbt Core
dbt Cloud
Intermediate
Updated

Migrate from DDL, DML, and stored procedures

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Migration
dbt Core
Beginner
Updated

Productionize your dbt Databricks project

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Databricks
dbt Core
dbt Cloud
Intermediate

Quickstart for dbt Cloud and Redshift

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Redshift
dbt Cloud
Quickstart
Beginner
Updated

Refactoring legacy SQL to dbt

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SQL
Advanced
Updated

Create Datadog events from dbt Cloud results

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Webhooks
Advanced
Updated

Trigger PagerDuty alarms when dbt Cloud jobs fail

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Webhooks
Advanced
Updated

Get started with Continuous Integration tests

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dbt Cloud
Orchestration
CI
Intermediate
Updated

Set up your dbt project with Databricks

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Databricks
dbt Core
dbt Cloud
Intermediate
Updated

Legacy dbt Semantic Layer migration guide

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Semantic Layer
Migration
Intermediate
Updated

Integrate with dbt Semantic Layer using best practices

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Semantic Layer
Best practices
Advanced
Updated

Quickstart for the dbt Cloud Semantic Layer and Snowflake

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Semantic Layer
Snowflake
dbt Cloud
Quickstart
Intermediate

Quickstart for dbt Cloud and Snowflake

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dbt Cloud
Quickstart
Snowflake
Beginner

Quickstart for dbt Cloud and Starburst Galaxy

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dbt Cloud
Quickstart
Beginner

Quickstart for dbt Cloud and Teradata

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dbt Cloud
Quickstart
Teradata
Beginner
Updated

Use Jinja to improve your SQL code

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Jinja
dbt Core
Advanced
Updated

Post to Microsoft Teams when a job finishes

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Webhooks
Advanced
Updated

Refresh a Mode dashboard when a job completes

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Webhooks
Advanced
Updated

Refresh Tableau workbook with extracts after a job finishes

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Webhooks
Advanced
Updated

Post to Slack with error context when a job fails

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Webhooks
Advanced