Workday Human Capital Management (HCM) connector

Beta

This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.

The managed Workday Human Capital Management (HCM) connector in Lakeflow Connect allows you to ingest data from Workday HCM into Databricks. Use this connector to consolidate human resources (HR) data such as workers, positions, payroll, and talent records into Databricks for analysis and downstream processing.

This page covers the Workday HCM connector, which ingests data from standard Workday HCM modules. To ingest data from Workday custom reports, see Workday Reports connector.

What to know before you start

Topic	Why it matters
Databricks user persona	The workflow depends on your Databricks user persona: Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline. Multi-user: An admin user creates a connection for non-admin users to create pipelines with.
Authentication method	The steps to create a connection depend on the authentication method you choose.
Interface	The steps to create a pipeline depend on the interface.
Ingestion frequency	The pipeline schedule depends on your latency and cost requirements.
Common patterns	Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Workday HCM

The following table gives an overview of the end-to-end Workday HCM ingestion flow based on user persona:

User	Steps
Admin	Configure Workday HCM to enable authentication from Databricks. See Configure authentication to Workday HCM. Either: Use Catalog Explorer to create a connection to Workday HCM so that non-admins can create pipelines. See Workday HCM. Use the data ingestion UI to create a connection and a pipeline at the same time. See Ingest data from Workday HCM.
Non-admin	Use any supported interface to create a pipeline from an existing connection. See Ingest data from Workday HCM.

Feature availability

Feature	Availability
UI-based pipeline authoring	Supported
API-based pipeline authoring	Supported
Declarative Automation Bundles	Supported
Incremental ingestion	Supported (selected tables only)
Unity Catalog governance	Supported
Orchestration using Databricks Workflows	Supported
SCD type 2	Not supported
API-based column selection and deselection	Not supported
API-based row filtering	Not supported
Automated schema evolution: New and deleted columns	Not supported
Automated schema evolution: Data type changes	Not supported
Automated schema evolution: Column renames	Not supported
Automated schema evolution: New tables	Not supported
Maximum number of tables per pipeline	N/A

Authentication methods

Authentication method	Availability
OAuth U2M	Not supported
OAuth M2M	Not supported
OAuth (manual refresh token)	Supported
Basic authentication (username/password)	Not supported
Basic authentication (API key)	Not supported
Basic authentication (service account JSON key)	Not supported