Preparing data
Last updated: Nov 26, 2024
After you create a project, or join one, the next step is to add data to the project and prepare the data for analysis.
- Required permissions
- You must have the Admin or Editor role in a project to add or prepare data.
Methods to add data to a project
You can add data assets from your local system, from a catalog, from the Resource hub, or from connections to data sources. See Adding data to a project.
You can add these types of data assets to a project:
- Data assets from files from your local system, including structured data, unstructured data, and images. The files are stored in the project's IBM Cloud Object Storage bucket.
- Connection assets that contain information for connecting to data sources. You can add connections to IBM or third-party data sources. See Connectors.
- Connected data assets that specify a table, view, or file that is accessed through a connection to a data source.
- Connected folder assets that specify a path in IBM Cloud Object Storage.
To get started quickly, take a tutorial. See Quick start tutorials.
Methods for preparing structured data
You can choose from these methods to prepare structured data, such as relational tables.
| Task | Method |
|---|---|
| Cleanse and shape data | Data Refinery |
| Generate synthetic data | Synthetic Data Generator |
| Preserve features | Feature groups |
Methods for preparing unstructured data
You can choose from these methods to prepare unstructured data, such as documents.
| Task | Method |
|---|---|
| Vectorize documents | Vector index |
| Generate synthetic data | Synthetic data generation API |
Learn more
Was the topic helpful?
0/1000