Chiranga
09/30/2026, 5:57 AMkapa.ai
09/30/2026, 5:57 AMFiles.Read.All, Sites.Read.All) [source.py].
3. Provide your SharePoint Site URL [Copy Raw Files Configuration].
4. In the stream/file configuration:
◦ Specify the file pattern/path pointing to your Excel file(s).
◦ Set the file format to parse the Excel content so the data rows are extracted into records rather than transferred as raw binary files [Copy Raw Files Configuration; client.py].
Step 2: Configure the Databricks Lakehouse Destination Airbyte includes a certified Databricks Lakehouse destination connector [metadata.yaml]:
1. Ensure prerequisites are met in Databricks [Databricks Lakehouse]:
◦ A Databricks workspace with Unity Catalog enabled.
◦ An active SQL Warehouse or compute cluster.
◦ Permissions to create schemas, tables, and Unity Catalog Volumes (used for staging).
1. Gather connection parameters from your SQL Warehouse connection details [Databricks Lakehouse]:
◦ Server Hostname
◦ HTTP Path
◦ Port (default is 443)
◦ Unity Catalog Name
1. Select an authentication method:
◦ OAuth2 (Service Principal client ID and secret, recommended) [Databricks Lakehouse].
◦ Personal Access Token [Databricks Lakehouse].
1. In Airbyte, create a new Destination, choose Databricks Lakehouse, enter the above details, and accept the JDBC/ODBC driver terms [Databricks Lakehouse; Step 3: Set Up a Databricks Lakehouse Destination].
Step 3: Create the Connection 1. Create a Connection linking your SharePoint source to your Databricks destination.
2. Select the stream generated from your Excel file configuration [Supported Streams].
3. Choose your sync mode (such as Full Refresh | Overwrite or Incremental | Append) [Copy Raw Files Configuration].
4. Run the sync. With destination version 4.0.0+, data is loaded directly into final tables in your Unity Catalog without generating intermediate raw (_airbyte_raw_*) tables [Databricks Lakehouse]. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.