databricks-isv-telemetry-attribution

To set up User-Agent telemetry, you configure and publish partner attribution across PWAF-enabled Databricks drivers and SDKs. The Skill provides registration workflows and example snippets to enforce the required formatting for consistent usage attribution.

PWAF telemetry attribution is a standardized User-Agent tagging process across Databricks drivers and SDKs. It enables accurate usage attribution and co-sell analytics for partner integrations by enforcing consistent telemetry formatting.

Yes, User-Agent telemetry attribution works across multiple ecosystems including Python, Go, Node.js, and Java. It supports various driver types such as JDBC, ODBC, SQL, and Databricks Connect for consistent attribution.

You validate Databricks partner telemetry by auditing usage data and checking the User-Agent tags in customer environments. The Skill provides guidance for validating telemetry to ensure accurate partner attribution across integrations.

The best way to ensure consistent User-Agent formatting is to apply standardized PWAF telemetry registration across all Databricks SDKs and drivers. This enforces the required format and aligns with PWAF telemetry standards for accurate attribution.

Yes, you can configure telemetry attribution for REST API integrations alongside other ecosystems like Java, Python, Go, and Node.js. The Skill covers registration steps and example code snippets to ensure consistent attribution across REST integrations.