- Data Streams
- Calculated Insights
- Data Transforms
ACTIVE status.
Configure and schedule Salesforce Data 360 workflows from the Collate UI:
Requirements
Collate connects to Salesforce Data 360 through the Salesforce REST API using a connected app that authenticates with the OAuth 2.0 client credentials flow. Complete the following:- Configure a Salesforce connected app for the OAuth 2.0 client credentials flow. This gives you the Consumer Key and Consumer Secret that Collate uses to authenticate. See the Salesforce documentation on creating a connected app for the setup steps.
- Grant the connected app the Manage Data Cloud and Access Data Cloud APIs scopes so it can list Data Streams, Calculated Insights, and Data Transforms and read their run history.
- Give the integration user permission to view these objects. The connection test verifies this by listing each object type.
Requirements for Lineage
Lineage connects each Data 360 pipeline to the tables it reads from and writes to. For Collate to resolve those tables, ingest the Salesforce Data 360 database first with the Data 360 database connector. Then point this pipeline service to it using the Data 360 Database Service Name field. Data Streams can pull from upstream systems outside Data 360, for example an S3 bucket or a Snowflake warehouse. To draw lineage to those upstream tables, use Service Mapping to map each Data 360 connector or data source name to the Collate service that already holds it.Metadata Ingestion
To ingest metadata from Salesforce Data 360, you need to create a service connection. The service connects Salesforce Data 360 with Collate. Once you create a service, Collate automatically starts ingesting metadata.Step 1: Add New Service
Open the Services page and start a new service.-
Navigate to Settings > Services and select the Pipelines service.

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Click Add New Service.

Step 2: Select a Service and Connector
From the service type dropdown, select Pipeline Services, then click the Salesforce Data 360 Pipeline connector tile.
Step 3: Add Service Name and Description
- Enter a unique, descriptive Service Name. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other Salesforce Data 360 services you are ingesting metadata from.
- Optional: Enter a Description for the service.

Note: The service name can’t be changed after you set it.
Step 4: Configure Connection Options
Specify where ingestion runs, provide your source credentials, and verify the connection.Select Ingestion Runner
Select an Ingestion Runner: the runner where the ingestion pipeline will execute.
Enter Connection Details
Enter the connection details for Salesforce Data 360. The right-hand panel in the UI displays inline help for each field.
- Salesforce API Version: The Salesforce REST API version to call. Defaults to
63.0. Change this only if your Salesforce org requires a different version. - Salesforce Domain: The domain of your Salesforce instance, used to build the login URL. Defaults to
login. Usetestfor a sandbox, or your My Domain subdomain for a custom domain. - Data 360 Database Service Name: The name of the Salesforce Data 360 database service in Collate to use for lineage resolution. Set this to the service you created with the Data 360 database connector so pipeline lineage can link to the right tables.
- Service Mapping: A JSON object mapping a Data 360 connector or data source name to the Collate service that holds it, used to resolve the upstream table of a Data Stream. For example:
{"S3_Connector": "my-s3-service"}. Defaults to{}. - Pagination Limit: How many Data 360 objects to request per page when listing pipeline objects. Defaults to
10. Valid values are1–200. - Include Bulk Lineage: When enabled, Collate also ingests lineage from Data Lake Objects to Data Model Objects for every data space. This walks all Data Model Objects in the configured Data 360 database service, so it is off by default.
- Consumer Key: The consumer key from your Salesforce connected app. This is the client identifier used for OAuth authentication.
- Consumer Secret: The consumer secret from your Salesforce connected app. This is the client secret used for OAuth authentication.
Test Connection
- Click Test Connection to verify the credentials.
- After the test succeeds, click Save.

Step 5: Configure Ingestion Options
In the What to Ingest step, use filter rules to control which pipelines Collate ingests from Salesforce Data 360.How Filter Rules Work
Each rule matches pipeline names using one of five match types:- contains: matches any name containing the value. For example,
salesmatchesmy_sales_dataandsales_2024. - starts with: matches names beginning with the value. For example,
prod_matchesprod_dbandprod_schema. - ends with: matches names ending with the value. For example,
_rawmatchesevents_rawandlogs_raw. - is exactly: matches the exact name only. For example,
analyticsmatches onlyanalytics. - matches regex: matches names using a regular expression. For example,
^prod_.*_v\d+$matchesprod_events_v1.
Filter Options
The Pipeline section controls which pipelines Collate ingests from Salesforce Data 360. It provides the following controls:- Scan Mode: Choose between the following scan modes:
- Scan all: Ingests every pipeline the connector can access. This is the default.
- Only specific: Enables include rules so only pipelines matching at least one rule are ingested.
- Always exclude: Add permanent exclusion rules (shown in red). Pipelines matching these rules are never ingested, regardless of include rules.
- Preview: Shows a real-time summary of what will be in scope based on your current rules.
- Include rules: In Only specific mode, click + Add to define a rule. Added rules appear as chips. A pipeline is included if it matches any rule.
Step 6: Create & Deploy
Click Create & Deploy to deploy the agent and start the first metadata ingestion run. Collate saves the service configuration and immediately begins pulling metadata from the source. To monitor ingestion progress or view the service you just added, go to Settings > Services and select your service.Configure Metadata Agent and Schedule Ingestion
The Metadata Agent extracts pipelines, tasks, and other structural metadata from your source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the Agents tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps:- Navigate to Settings > Services and select the Pipelines service.
- Select your service and click the Agents tab.
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Click Add Agent and select Metadata from the dropdown.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
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On the Configure Ingestion page, do the following and click Next.
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Name this Ingestion: Enter a unique, recognizable name for this ingestion pipeline.

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Agent Setup: Configure the core parameters for this agent. The following fields are available:

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Filter Patterns: Apply include or exclude rules to scope which pipelines this agent ingests. These follow the same filter options described in Step 5.

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Scope & Behaviour: Control what metadata to include and how to handle deletions. Toggle each option on or off based on your needs:

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Name this Ingestion: Enter a unique, recognizable name for this ingestion pipeline.
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On the Schedule Interval page, set when the agent runs:
- Schedule: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
- On-Demand: No automatic schedule. Trigger the agent manually when needed.

- Click Add to deploy the agent.
Configure the Lineage Agent
The Metadata agent does not ingest lineage. After the Metadata agent succeeds, add a separate Lineage agent:- Open the pipeline service and select the Agents tab.
- Click Add Agent, then select Add Lineage Agent.
- Configure its schedule.
- Click Add & Deploy.
Configure the Usage Agent for Pipeline Status
The Metadata agent does not ingest run status. Add a separate Usage agent to populate Pipeline Status:- Open the pipeline service and select the Agents tab.
- Click Add Agent, then select Add Usage Agent.
- Set Status Lookback Days to the run-history window you want to ingest.
- Configure its schedule.
- Click Add & Deploy.
Troubleshooting
Salesforce Data 360 Pipeline Troubleshooting
Learn more about how to troubleshoot common Salesforce Data 360 pipeline connector issues and resolve configuration or ingestion errors.