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In the last seven days: four shipped, four in preview, five with a date on it and six new concepts on Lakenaut.
13 changes for you: five needs action, six worth evaluating and two nice to know.
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New features |
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Metric views can now define window measures, which cover rolling windows, cumulative totals and semiadditive aggregations such as moving averages. |
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A Lakeflow pipeline's run-as identity can now be an account group, in addition to a user or a service principal. |
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NEAREST BY is a SQL join that finds, for each row on the left, the k closest rows on the right by vector similarity or distance, either EXACT or APPROX. |
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The note reminds customers that they are responsible for complying with the applicable terms. |
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Previews and beta |
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Genie Code CLI is a coding agent that runs in a terminal and works on local files. |
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Databricks contributed an UNREGISTER endpoint to the Apache Iceberg REST catalog specification. |
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Trigger types can be mixed, several triggers of the same type are allowed, and each trigger can be paused on its own. |
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It ingests audit activity from Google Workspace applications and services into Databricks, using OAuth user authorization and incremental ingestion. |
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Deprecations and end of support |
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DeepSeek V4.1 Flash is the recommended replacement. |
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Anything still relying on it needs a plan before then. |
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Anything still relying on it needs a plan before then. |
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Anything still relying on it needs a plan before then. |
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Anything still relying on it needs a plan before then. |
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New and rewritten concepts |
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A metric view is a Unity Catalog object whose body is YAML. It defines measures once, and every query picks its own grouping and reads the measures with MEASURE(). |
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A cluster policy is an admin-defined JSON rule set that locks down what a user can configure on a cluster, enforcing cost, security, and tagging limits. |
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The Databricks CLI, the language SDKs, and Databricks Connect all share one authentication order and wrap the same REST API for scripting and automation. |
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Change Data Feed records every row-level insert, update, and delete on a Delta table so downstream jobs can propagate just the change, not the whole table. |
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Long-term memory for an agent, kept in a workspace store Databricks runs on Lakebase and partitioned by actor — where the store, not the actor, is the security boundary. |
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The four capacity modes for a Databricks-hosted foundation model: pay-per-token, priority, on-demand provisioned throughput and reserved provisioned throughput. |
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