Get started with Secoda
See why hundreds of industry leaders trust Secoda to unlock their data's full potential.
See why hundreds of industry leaders trust Secoda to unlock their data's full potential.
Activating the virtual environment is the first step in setting up Microsoft SQL Server with dbt Developer Hub. This involves creating an isolated environment where you can install the necessary packages and dependencies without affecting your system's Python environment.
python -m venv env
source env/bin/activate
The above code creates a new virtual environment and activates it. This environment is where you will install the necessary packages for the setup.
Running the dbt init command is the next step. This command initializes a new dbt project in your current directory.
dbt init [project-name]
The above command initializes a new dbt project with the specified project name. This creates a new directory with the project name and sets up the necessary files for the project.
After naming the project, the next step is to select the databricks or spark database. This involves specifying the type of database you want to use in your dbt project.
dbt profile --target databricks
The above command sets the target database to databricks. You can replace 'databricks' with 'spark' if you want to use the spark database.
Entering the host value is the next step. This involves specifying the host of your database in the dbt profile.
dbt profile --host [host-value]
The above command sets the host of the database to the specified value. This value is the address of your database server.
Granting user permissions is the final step. This involves granting the user the necessary permissions on the database level.
GRANT CREATE SCHEMA, CREATE TABLE, CREATE VIEW, SELECT ON DATABASE::[database-name] TO [username]
The above command grants the user the necessary permissions on the specified database. This allows the user to create schemas, tables, views, and select data from the database.