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dbt (data build tool) is an open-source framework for transforming data in warehouses using SQL and version-controlled, templated models.
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Microsoft made Fabric IQ the default business context for Microsoft 365 Copilot at FabCon Barcelona and opened it to outside agents over MCP. The metric definitions teams keep in Power BI semantic models now shape what those agents answer.
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CData's Connect AI Gateway, now in early access, holds AI agents to each user's own permissions down to specific rows and columns. Teams deploying agents can now buy that control, though the accuracy claims behind it come from CData's own tests.
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opentelemetry-instrumentation-dagster hooks Dagster's decorator factories from the standard OTel launcher, so every op and asset emits a span with no imports in the pipeline file. Kubernetes step Pods need the hook baked into the image.
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AWS schedules compaction, snapshot expiration and orphan cleanup on table buckets itself, and a dev.to teardown finds that managed maintenance halts on any table carrying a user-defined tag or branch.
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A dev.to crash course splits pipeline testing into code correctness and data correctness. The split earns its keep because a renamed column produces nulls rather than a stack trace, so nothing pages anyone.
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Jedify's CTO attributed the misses, re-ran part of its own benchmark on open weights, and owned a bad caption. The arithmetic on its ROI multiples still does not close.
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A dev.to post prices 15 minutes of root-cause hunting at $600 a year, then disowns its own number. The payoff worth funding is collapsing forty freshness alerts into one broken table.
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Interlace drops templating from its dbt-style models. Its argument: parse the SQL, and the dependency graph you were asked to declare twice is already sitting in the FROM clause.
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