Step 1: Sign In
1
Go to https://cloud.cdata.com/.
2
Sign in with your CData account.
Step 2: Connect Your First Source
Example: Salesforce (OAuth)
1
Open Sources > Add Connection > Salesforce.
2
Select OAuth authentication (recommended).
3
Provide:
- Client ID and Client Secret from Salesforce (Setup > App Manager > Your Connected App).
- Callback URL shown in Connect AI.
4
Click Authorize and sign in with Salesforce.
5
Test connection, and then Save.
Done! You can now query Account, Opportunity, Contact, and other objects in real time.
Example: Google BigQuery (OAuth)
1
Open Sources > Add Connection > Google BigQuery.
2
Sign in with your Google account.
3
Select the project and dataset(s) to expose.
4
Test connection, and Save.
Your BigQuery datasets are now queryable via SQL, OData, and REST.
Step 3: Explore and Query Your Data
1
Open Explorer and select your source.
2
Run a query:
Step 4: Create Derived Views
Derived Views are saved SQL definitions you can permission like tables.Step 5: Use Data in Your Tools
Power BI (SQL endpoint)
1
Open Power BI Desktop and then select Get Data > SQL Server.
2
Enter your Connect Cloud SQL endpoint (tds.cdata.com).
3
Authenticate with your CData credentials.
4
Select tables or derived views and build visuals.
Excel (OData)
1
In Excel, select Data > Get Data > From Other Sources > From OData Feed.
2
Paste your Connect Cloud OData endpoint (https://cloud.cdata.com/api/odata/{workspace\_name}).
3
Authenticate with your CData credentials and load data.
Tableau (OData or SQL)
1
In Tableau, select Connect > OData Server (or SQL Server).
2
Enter either the OData or SQL Server endpoint, authenticate, and start exploring.
AI and Apps (Rest/OpenAPI)
Expose any source as a secure API for custom apps and large language models (LLMs).- REST provides programmatic access from apps/agents:
- OData v4 is used for BI tools and pagination/filtering:
- OpenAPI generates clients and validates requests:
Step 6: Organize with Workspaces
1
In Workspaces, Add Workspace and name the workspace (for example, Sales).
2
Add sources and derived views needed by the team.
3
Share with groups to grant access.
Step 7: Permissions by Need-to-Know
Control access at the source or workspace level.| Permission | What it allows |
|---|---|
| SELECT | Read/query data |
| INSERT/UPDATE/DELETE | Write changes back (if source allows) |
| EXECUTE | Run procedures (such as refresh metadata) |
Security and Best Practices
- Rate limits: 100 requests/user/minute.
- IP allowlist: Restrict access to trusted networks.
- Logging & audit: Enable detailed logs for governance.
Troubleshooting
Connection failed? Verify credentials, network/VPN, and source API status.- Missing tables? Refresh metadata on the source.
- Slow queries? Filter early, limit columns, and enable caching.
- Auth errors? Re-authorize OAuth and confirm scopes.
Get Support
For assistance with using Connect AI, there are two main resources available:- The Status page, which shows the current status and incident history for the application services.
- CData Technical Support, which you can also access by clicking the Support link at the bottom of the dashboard.