dlt-expectations-patterns
Spark Declarative Pipeline (SDP, formerly DLT) expectations patterns for data quality with Unity Catalog Delta table storage. Use when implementing Silver layer SDP/DLT pipelines, creating portable data quality rules, or needing runtime-updateable expectations without code deployment. Supports severity-based filtering (critical vs warning) and quarantine patterns. Uses `import dlt` (legacy API) because `@dlt.expect_all_or_drop()` decorators are not yet available in the modern `dp` API (`from pyspark import pipelines as dp`).
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finetuning
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prisma-compute
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Prisma Compute deployment and hosting guide. Use whenever the user mentions Prisma Compute, `prisma.compute.ts`, `defineComputeConfig`, deploying or hosting a Prisma app, `@prisma/cli app deploy`, `compute:deploy`, `create-prisma --deploy`, `PRISMA_SERVICE_TOKEN`, Compute auth/workspaces, apps/deployments/build logs/domains, localhost vs `0.0.0.0`, deploy port binding, or framework deploy readiness for Hono, Elysia, Next.js, TanStack Start, Astro, Nuxt, Svelte, Nest, Turborepo, or custom/prebuilt artifacts.
azure-quotas
microsoft/azure-skills
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