Databricks SQL Python User-Defined Functions (UDF) -  Private Preview
Please fill in this form to confirm your interest in the Databricks SQL (DBSQL) Python UDF Private Preview.

Python UDFs in DBSQL allow to bring in workloads that require functionality beyond what’s expressible with SQL, by defining custom functions in DBSQL using Python that can be called as part of SQL statements and queries.

By signing-up for the private preview, you agree to receiving updates, invitations to interviews, questionnaires, or workshops with the goal to improve these features.
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Let us know how you plan to use Python UDFs in Databricks SQL (DBSQL)
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Python UDFs in DBSQL are governed in Unity Catalog (UC). Have you onboarded to Unity Catalog? *
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Thank you for participating in the DBSQL Python UDF private preview!
Remember that:
- The product is in preview and not intended to be used in production;
- The product may change or may never be released;
- While we will not charge separately for this product right now, we may charge for it in the future. You will still incur charges for DBUs.
- There's no formal support or SLAs for the preview - so please reach out to your account or other contact with any questions or feedback; and
- We may terminate the preview or your access at any time;
- Non-public information about the preview (including the fact that there is a preview for the feature/product itself) is confidential;

Acknowledgement of Preview Terms
By submitting this form, you acknowledge the following legal language:

- The product is in preview and not intended to be used in production;

- The product may change or may never be released;

- While we will not charge separately for this product right now, we may charge for it in the future. You will still incur charges for DBUs.

- There's no formal support or SLAs for the preview - so please reach out to your account or other contact with any questions or feedback.

- We may terminate the preview or your access at any time;

- Non-public information about the preview (including the fact that there is a preview for the feature/product itself) is confidential;


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