docs: Update databricks-jdbc.mdx (#8757) — thanks, @morgan-at-cube!

Update export bucket instructions to use unity catalog. The previous recommendation (DBFS) is no longer supported by Databricks.

Author: morgan-at-cube

docs/pages/product/configuration/data-sources/databricks-jdbc.mdx

@@ -59,7 +59,7 @@ docker run -it -p 4000:4000 --env-file=.env cube-jdk
 | `CUBEJS_DB_DATABRICKS_ACCEPT_POLICY` | Whether or not to accept the license terms for the Databricks JDBC driver                       | `true`, `false`       |    ✅    |
 | `CUBEJS_DB_DATABRICKS_TOKEN`         | The [personal access token][databricks-docs-pat] used to authenticate the Databricks connection | A valid token         |    ✅    |
 | `CUBEJS_DB_DATABRICKS_CATALOG`       | The name of the [Databricks catalog][databricks-catalog] to connect to                                                | A valid catalog name  |    ❌    |
-| `CUBEJS_DB_EXPORT_BUCKET_MOUNT_DIR`  | The path for the [Databricks DBFS mount][databricks-docs-dbfs]                                  | A valid mount path    |    ❌    |
+| `CUBEJS_DB_EXPORT_BUCKET_MOUNT_DIR`  | The path for the [Databricks DBFS mount][databricks-docs-dbfs] (Not needed if using Unity Catalog connection)         | A valid mount path    |    ❌    |
 | `CUBEJS_CONCURRENCY`                 | The number of concurrent connections each queue has to the database. Default is `2`             | A valid number        |    ❌    |
 | `CUBEJS_DB_MAX_POOL`                 | The maximum number of concurrent database connections to pool. Default is `8`                   | A valid number        |    ❌    |
 
@@ -103,7 +103,7 @@ Storage][azure-bs] for export bucket functionality.
 #### AWS S3
 
 To use AWS S3 as an export bucket, first complete [the Databricks guide on
-mounting S3 buckets to Databricks DBFS][databricks-docs-dbfs-s3].
+connecting to cloud object storage using Unity Catalog][databricks-docs-uc-s3].
 
 <InfoBox>
 
@@ -123,7 +123,7 @@ CUBEJS_DB_EXPORT_BUCKET_AWS_REGION=<AWS_REGION>
 #### Azure Blob Storage
 
 To use Azure Blob Storage as an export bucket, follow [the Databricks guide on
-mounting Azure Blob Storage to Databricks DBFS][databricks-docs-dbfs-azure].
+connecting to Azure Data Lake Storage Gen2 and Blob Storage][databricks-docs-azure].
 
 [Retrieve the storage account access key][azure-bs-docs-get-key] from your Azure
 account and use as follows:
@@ -152,10 +152,10 @@ bucket][self-preaggs-export-bucket] **must be** configured.
   https://docs.microsoft.com/en-us/azure/storage/common/storage-account-keys-manage?toc=%2Fazure%2Fstorage%2Fblobs%2Ftoc.json&tabs=azure-portal#view-account-access-keys
 [databricks]: https://databricks.com/
 [databricks-docs-dbfs]: https://docs.databricks.com/en/dbfs/mounts.html
-[databricks-docs-dbfs-azure]:
-  https://docs.databricks.com/data/data-sources/azure/azure-storage.html#mount-azure-blob-storage-containers-to-dbfs
-[databricks-docs-dbfs-s3]:
-  https://docs.databricks.com/data/data-sources/aws/amazon-s3.html#access-s3-buckets-through-dbfs
+[databricks-docs-azure]:
+  https://docs.databricks.com/data/data-sources/azure/azure-storage.html
+[databricks-docs-uc-s3]:
+  https://docs.databricks.com/en/connect/unity-catalog/index.html
 [databricks-docs-jdbc-url]:
   https://docs.databricks.com/integrations/bi/jdbc-odbc-bi.html#get-server-hostname-port-http-path-and-jdbc-url
 [databricks-docs-pat]: