Bootstrap Project with First Dataset
A 3-step recipe with Dataiku. We can help you get access.
Recipe · 3 steps
Bootstrap Project with First Dataset
with Dataiku
Create a project and seed it with a first dataset.
- Create the DSS project from the supplied project key and name.
- Create the first dataset inside the newly created project.
- Read the dataset definition back to confirm it was registered.
What you'll need to have ready
- apiKey: DSS API key passed as a Bearer token in the Authorization header.
- projectKey: Unique project key (uppercase letters and numbers, e.g. SALES_ANALYTICS).
- projectName: Display name for the new project.
- owner: Login of the project owner.
- datasetName: Name of the dataset to create in the project.
- datasetType: Dataset type (e.g. Filesystem, PostgreSQL, S3).
- datasetParams: Type-specific parameters for the dataset connection.
For your developer
Arazzo workflow dataiku:bootstrap-project, 3 operations: createProject → createDataset → getDataset. Specs on APIs.io.