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Databricks adds Query Tags for SQL query context and cost attribution

Databricks has introduced Query Tags, a new feature in public preview that allows users to attach custom metadata to SQL queries. These tags enable better cost attribution, tracing of queries from partner tools like dbt, PowerBI, and Tableau, and labeling of internal workloads. The feature aims to provide crucial context that is often missing in standard query logs, allowing for more granular analysis and troubleshooting. AI

IMPACT Enhances data warehousing operations by providing better context for query analysis and cost management.

RANK_REASON This is a new feature release for an existing product, not a core AI model or research breakthrough.

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COVERAGE [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Query Tags: The Context Your Warehouse Queries Have Been Missing

    Databricks SQL logs key attributes of every query automatically: who ran it, on which...