How to setup dbt Core with PostgreSQL using dbt Developer Hub?
Setting up dbt Core with PostgreSQL using dbt Developer Hub involves a series of steps. First, navigate to Settings and select 'Create new project'. Choose PostgreSQL and select 'Private'. From the dropdown, select the private endpoint and configure the remaining data platform details. Finally, test your connection and save it.
- Navigate to Settings: This is the first step in setting up dbt Core with PostgreSQL. It involves going to the settings section of the dbt Developer Hub.
- Select 'Create new project': This step involves creating a new project in the dbt Developer Hub. This is where you will configure your PostgreSQL database.
- Choose PostgreSQL: This step involves selecting PostgreSQL as your database of choice. PostgreSQL is a powerful, open source object-relational database system.
- Select 'Private': This step involves choosing the privacy setting for your project. Selecting 'Private' means your project will not be publicly accessible.
- Test your connection and save it: After configuring all the necessary details, it's important to test your connection to ensure everything is set up correctly. Once confirmed, save your settings.
How to setup a DBT project on a local machine using a postgres database?
Setting up a DBT project on a local machine using a postgres database involves creating a directory named transformations and a virtual environment in vscode. Then, install DBT with PIP and start a postgres docker container. Create a source schema and a source table named users. Add example data to the users table and create a DBT project with dbt init. To compile and execute data models, run dbt commands.
- Create a directory named transformations: This is the first step in setting up a DBT project on a local machine. It involves creating a specific directory for storing transformation files.
- Create a virtual environment in vscode: This step involves setting up a virtual environment in Visual Studio Code. This environment is where you'll install DBT and run your project.
- Install DBT with PIP: This step involves installing DBT, a tool for data transformation, using PIP, a package installer for Python.
- Start a postgres docker container: This step involves starting a docker container with a PostgreSQL database. Docker is a platform that allows you to develop, ship, and run applications in containers.
- Create a DBT project with dbt init: This final step involves creating a new DBT project using the 'dbt init' command. This command sets up the necessary files and directories for a DBT project.
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