Software Engineering :: Data Engineering :: Data Operations :: Data Transformation :: Software :: dbt :: Training :: Get Started with DBT
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- Intro to Data Build Tool (dbt) // Create your first project!
- 5 Tips to Improve Your dbt Project
- Add raw "sources" to your dbt project
- How does dbt actually compile queries?
- Deploy to custom schemas & override dbt defaults
- How to test and debug your dbt models
- Change the materialization (aka how dbt models deploy)
- Package management and dbt Hub // packages.yml
- View your dbt documentation as a website
- Use dbt Seeds to work with static CSV data
- Create custom tests or override defaults
- Add dbt project variables & use them in models
- Use hooks to simplify repetitive dbt run activities
- Simplify dbt documentation with docs blocks
- How to monitor your source freshness in dbt
- How to use Snowflake query tags in dbt
- Use the dbt "state" method to only run modified models
- The multi-repo approach // how to structure dbt projects
- Audit your dbt runs by using {{ invocation_id }}
- Install dbt in a virtual environment // best practice
- How to "clean" your dbt project files
- An EASY way to run/test models in groups
- How do EPHEMERAL dbt models work?
- Handle JSON with dbt // jinja & macros
- How to use ONE dbt project for all environments
- How to use the dbt "analyses" directory
- A simple 4-step process for creating dbt models
- How to use managed repos on dbt Cloud
- Intro to dbt Cloud // Use Free for Life
- 3 Time-Saving dbt Cloud Features (for free)
- How to use Exposures in dbt
- How to use dbt Operators to run dynamic commands
- dbt Project Naming Conventions (recommended approach)
- How to use dbt Snapshots to track data history
- dbt Environments vs Targets | What's the Difference?
- dbt & Reverse ETL | Census Integration & CI Checks
- What are "intermediate" models in dbt?
- How to Run Queries from the Terminal (dbt Show Command)
- How to Build Incremental Models | dbt tutorial