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This page helps you understand the SQL Server ingestion workflow, including the factors that determine your setup approach and the steps involved for different user personas.
What to know before you start
| Topic | Why it matters |
|---|---|
| Azure Databricks user persona | The workflow depends on your Azure Databricks user persona:
|
| Database variation | The source database configuration depends on the SQL Server deployment environment. |
| Change tracking method | The source database configuration depends on how you choose to track changes in the source. |
| Authentication method | The steps to create a connection depend on the authentication method you choose. |
| Interface | The steps to create a connection, a gateway, and a pipeline depend on the interface. |
| Ingestion frequency | The pipeline schedule depends on your latency and cost requirements. |
Overview of steps
The following table provides an overview of the end-to-end SQL Server ingestion workflow, depending on your user persona:
| User | Steps |
|---|---|
| Admin |
|
| Non-admin | Use any supported interface to create a gateway and a pipeline. See Ingest data from SQL Server. |