Dados e Análise

Diagnose and resolve Microsoft Fabric Power BI security issues including row-level security (RLS), object-level security (OLS), column-level security (CLS), workspace permissions, sensitivity labels, service principal authentication, XMLA endpoint access, DirectLake security fallback, Entra ID app registration, and data loss prevention (DLP) policy restrictions. Use when remediate access denied er

Use when debugging Rails issues - provides Rails-specific debugging tools (logs, console, byebug, SQL logging) integrated with systematic debugging process

Guia para o Microsoft Fabric IQ (preview), uma carga de trabalho de inteligência semântica para dados unificados e vocabulário de negócios. Utilize-o para criar e gerenciar itens de ontologia, definir tipos de entidade e relacionamento, vincular dados, configurar agentes de dados e consultar grafos de ontologia no Microsoft Fabric.

Diagnose and resolve Microsoft Fabric Dataflow Gen2 performance issues including slow refresh times, Fast Copy optimization, query folding failures, staging bottlenecks, gateway latency, incremental refresh tuning, capacity throttling, and data destination write performance. Use when troubleshooting dataflow refresh failures, optimizing Dataflow Gen2 execution time, debugging Power Query mashup en

Troubleshoot Microsoft Fabric materialized lake views (MLV) performance issues including slow refresh, incremental refresh failures, full refresh fallback, Spark job failures, lineage execution errors, data quality constraint violations, and optimal refresh configuration. Use when diagnosing MLV refresh duration, monitoring MLV runs in Monitor Hub, analyzing Spark logs for MLV failures, enabling c

Troubleshoot and optimize Delta Lake and Apache Spark performance in Microsoft Fabric. Use when diagnosing slow Spark jobs, small file problems, data skew, shuffle bottlenecks, out-of-memory errors, V-Order tuning, OPTIMIZE/VACUUM operations, partition strategy, resource profile selection (writeHeavy, readHeavyForSpark, readHeavyForPBI), autotune configuration, Native Execution Engine, broadcast j

Solucione problemas de controle de acesso do Microsoft Fabric Lakehouse, abrangendo funções de segurança do OneLake, permissões de endpoint de análise SQL, funções de workspace, funções de acesso a dados e vários recursos de segurança, como RLS, CLS, OLS e mascaramento dinâmico de dados.

Pagination for Ruby on Rails applications using Kaminari. Use when: (1) Implementing pagination for database records, (2) Building paginated API endpoints, (3) Customizing pagination UI with themes, (4) Handling large datasets efficiently, (5) Creating infinite scroll, (6) Paginating arrays or custom collections, (7) Adding SEO-friendly pagination URLs, (8) Internationalizing pagination labels

Diagnose and resolve Microsoft Fabric OneLake performance issues including slow queries, cold cache latency, small file problems, Delta table fragmentation, V-Order optimization, Spark throttling, capacity SKU sizing, and cross-region data access. Use when remediate OneLake read/write performance, lakehouse query slowness, Direct Lake fallback, table maintenance failures, Spark concurrency limits,

Deterministic rainfall/climate formatting for SWMM. Use when converting timestamped rainfall CSV files into SWMM-ready [TIMESERIES] lines and [RAINGAGES] helper snippets for swmm-builder.

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

Diagnostica e resolve problemas de desempenho em Funções de Dados do Usuário do Microsoft Fabric. Utilize quando as funções estiverem lentas, com timeout, retornando erros, consumindo capacidade excessiva ou apresentando latência de inicialização a frio, cobrindo desde timeouts de execução até otimização Python.