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Replying to @yazilimci_adam
Method veya class seviyesinde "burada UoW kullanılmalı mı?" gibi bir business/design intent'i otomatik anlamak zor. Ama layer üzerinden boundary üzerinden tanımlayabiliyorsak yapılabilir. Mesela "Application layer doğrudan DbContext bilemez/inject edemez" gibi deterministik bir rule varsa iş kolaylaşıyor. NetArchTest hiç kullanmadım ama reflection ile assembly seviyesinde "bu assembly şu dependency’ye sahip mi?", "bu namespace şuna referans veriyor mu?" gibi kontroller için yapabilirsin. Ama amaç daha kod/semantic seviyesinde kontrol yapmaksa Roslyn Analyzer yazmak daha doğru bence. Hatta test tarafında da "Microsoft.CodeAnalysis.CSharp" ile C# kodunu parse edip "SemanticModel" üzerinden constructor parameter/field/property type’ının gerçekten DbContext veya DbContext'den türeyen bir type olup olmadığını kontrol edebilirsin. Ben "Microsoft.CodeAnalysis.CSharp"'ı daha çok code generation/modification için kullandım, ama senin istediğin amaçla kullanmadım. Ama teorik olarak bu use-case'de de çalışması lazım. Eskiden Rosyln Analyzer veya SemanticModel üzerine kod yazmak osurtuyordu da, AI baya iyi yardımcı oluyor oralarda.
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Your Power BI report now speaks every language. Automatically. No complex workarounds. No multiple reports. No hacks. The new User-Context-Aware Calculated Column in Power BI changes everything for multi-lingual reporting. One DAX function — USERCULTURE() — detects who's viewing the report and serves them translated values automatically. Right from the semantic model. One model. Every language. Zero friction. I just published a full video walking you through exactly how to build this — from model design to a working multi-lingual Power BI report. #PowerBI #DAX #MicrosoftFabric #SemanticModel #PowerBITips #MultiLingual #DataTranslation #USERCULTURE #PowerBIDeveloper #BusinessIntelligence #DataAnalytics #RADACAD #PowerBI2026 #DataModeling #MicrosoftPowerBI 🎥 Watch the full video here: youtu.be/attOboV4ZO8
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Your Power BI report now speaks every language. Automatically. No complex workarounds. No multiple reports. No hacks. The new User-Context-Aware Calculated Column in Power BI changes everything for multi-lingual reporting. One DAX function — USERCULTURE() — detects who's viewing the report and serves them translated values automatically. Right from the semantic model. One model. Every language. Zero friction. I just published a full video walking you through exactly how to build this — from model design to a working multi-lingual Power BI report. #PowerBI #DAX #MicrosoftFabric #SemanticModel #PowerBITips #MultiLingual #DataTranslation #USERCULTURE #PowerBIDeveloper #BusinessIntelligence #DataAnalytics #RADACAD #PowerBI2026 #DataModeling #MicrosoftPowerBI 🎥 Watch the full video here: youtu.be/attOboV4ZO8
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C# Source Generators: Reading the Roslyn Syntax Tree Master reading and traversing a Roslyn syntax tree in a C# source generator. Learn SyntaxTree, SemanticModel, and ForAttributeWithMetadataName for .NET 6 . Read the article here: bgh.st/CiprFeX
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505: The semantic model is the linchpin of modern data architecture. It bridges data warehousing, Spark, and lakehouses on one side, with Power BI, AI queries, and DAX on the other. Every tool needs this central semantic layer. #DataArchitecture #SemanticModel #BigData
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Downloading a #PowerBi PBIX has been easy for years. But what if you want the report as PBIR/PBIP or inspect the deployed .semanticmodel in TMDL? Now you can do it via API with #SimplePBI by #LaDataWeb #MicrosoftFabric blog.ladataweb.com.ar/post/8…

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📊 Creating Your First Semantic Model in Microsoft Fabric ▶️ Watch: prag.works/semmd Build the foundation for reporting, analytics, and AI in Microsoft Fabric. #MicrosoftFabric #PowerBI #SemanticModel #PragmaticWorks #MicrosoftPartner
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# Data Architecture Simplified: A semantic model directly handles data engineering from sources. This streamlines connections for reporting and AI, making complex data accessible. #DataEngineering #SemanticModel #AI
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でもIncremental Source Generatorだと可能な限りSemanticModelにアクセスしないのがベストプラクティスなので、結局AST完結でよかったのかもしれない
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498: Wish I could see a visual diagram of every column and its source when I click on a measure. Imagine a Mermaid chart showing all tables and columns impacted by a visual! #DataDiscovery #SemanticModel
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489: You're already building ontologies whether you realize it or not. Your semantic model defines relationships between customers, facts, calculations, and metrics. #SemanticModel #PowerBI youtube.com/watch?v=S9e1bJ-v…
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What if semantic search was just a function call? With SemanticModel in Intugle Library, developers can integrate domain aware semantic search without glue code, pipelines, or complexity. Less setup. More signal. This is how semantic search should feel. #Data #OpenSource #DeveloperCommunity #PipInstallIntugle
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485: Semantic models have a temperature column that shows which data columns heat up when a Power BI report is run. Use it to evaluate model performance and which columns are being leveraged. #PowerBI #SemanticModel youtube.com/watch?v=ofs5VAmH…
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