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Perbedaan utama antara **discovery** dan **invensi** terletak pada *sifat* dari prosesnya. Discovery adalah tentang *menemukan* sesuatu yang sudah ada, sementara invensi adalah tentang *menciptakan* sesuatu yang baru.
Replace `your-database-adapter` with the adapter for your data warehouse (e.g., `dbt-snowflake`, `dbt-bigquery`, `dbt-redshift`, etc.). This installs the core dbt package, your database adapter, and the **dbt Python library**. If you are looking to install this with `conda`, you might need to use `conda install -c conda-forge dbt-core dbt-adapters-your-database-adapter dbt-python`. After installation, create or navigate to your dbt project directory and configure your `profiles.yml` file to connect to your data warehouse. This file contains the connection details for your database, such as the type of database, the host, the username, password, and database name. This is crucial as it tells dbt how to connect to and interact with your data. Ensure all details are correct to avoid connection errors later on. You should check the dbt documentation for how to configure your `profiles.yml` file for your specific database. Now, you should be ready to roll!
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