Informatica PowerCenter: Prepare the data source files for Cloud Storage connection
Prepare the data source files and store them in your cloud-based storage system. The files must be in one of the following:
- An AWS S3 bucket.
- An Azure Data Lake Storage container.
- A Google Cloud Storage bucket.
- In the dbt Core environment, locate the target/ directory of your dbt project. The target/ directory must contain the manifest JSON file and compiled SQL files. This directory is created by running the
dbt runanddbt compilecommands. - If the target/ directory does not exist or the directory does not contain the manifest JSON file or compiled SQL files, complete the following steps to create the directory and the required files:
- Set the profile of your dbt Core to the environment that you want to retrieve the lineage information from.
- Use the
dbt compilecommand to generate SQL files. For details, go to About dbt compile command and Manifest JSON file in dbt documentation.
- Store the target/ directory in a bucket or directory in your cloud-based storage system and ensure that you maintain the folder structure. The bucket or container must contain all files and subdirectories, such as target/manifest.json and target/compiled/project-name/models/.
Add the Technical Lineage for Informatica PowerCenter (Cloud) capability for Cloud Storage connections.