Schedule automatic data refresh in the Databricks Excel Add-in
You can now schedule automatic refreshes for queries, tables, and pivot tables imported into Excel using the Databricks add-in.
O que mudou
Use cases
Imagine you maintain financial or operational reports in Excel connected directly to Databricks and need data to refresh without manual intervention. With this feature, you can:
- Automate refreshes for saved queries, tables, and pivot tables.
- Set frequencies using time intervals or calendar schedules.
- Choose the SQL warehouse that runs each refresh.
- Review execution history directly inside Excel.
How to use
Open the Databricks Excel Add-in panel, go to your saved imports, and configure the routine:
- Open the Databricks Excel Add-in and go to Saved imports.
- Select the calendar button next to the desired import.
- Enter the schedule name, choose an interval or schedule cadence, and select the SQL warehouse.
- Select Create Schedule.
What happens in this process:
- The add-in links your Databricks account with the workbook stored in OneDrive or SharePoint.
- The schedule runs autonomously using the provided credentials.
- Run history is available in the Run history tab for auditing and troubleshooting.
Limitations and requirements
- Stage: Public Preview.
- The Excel workbook must be saved in Microsoft OneDrive or SharePoint.
- Your Microsoft account must be connected to the add-in with the required permissions (
Files.ReadWriteandoffline_access). - You must have permission to use the selected SQL warehouse.
- The add-in file must include the Microsoft authentication domain in its XML configuration.
- excel
- sql warehouse
- data connectivity
- automation
- databricks add-in
Schedule automatic data refresh in the Databricks Excel Add-in (Public Preview)
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
Relacionadas
- DatabricksGA
Repositórios de pacotes em nível de workspace para Databricks Apps
Administradores de workspace podem configurar repositórios padrão de pacotes Python e npm para Databricks Apps.
databricks apps · workspace settings - DatabricksGA
Redimensione partições de stateful streaming sem perder o checkpoint no Databricks
Agora é possível alterar o número de partições de shuffle em queries Structured Streaming e pipelines Lakeflow sem descartar o estado do checkpoint.
structured streaming · lakeflow - DatabricksAtualização
Google Gemini 4 Argon disponível no Unity Gateway do Databricks
O modelo multimodal Google Gemini 4 Argon já pode ser acessado via Foundation Model APIs e Unity Gateway.
unity catalog · foundation model apis