Microsoft Fabric Architecture Podcast (हिनदी) kapak görseli

Microsoft Fabric Architecture Podcast (हिनदी)

Microsoft Fabric Architecture Podcast (हिनदी)

Yazan: Matthias Falland
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Microsoft Fabric के लिए architecture decisions। असली customer scenarios, cost realism, counter-arguments शामिल। Fabric Friday recordings के साथ weekly episodes। AI द्वारा नि��्मित।© 2026 Matthias Falland Economics
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  • Label ताला नहीं है, बस तख्ती है

    Label ताला नहीं है, बस तख्ती है
    30 Oct 2026
    Label ताला नहीं है, बस तख्ती है Episode 43 • 2026-10-30 Duration: 10:23 Sensitivity label header में Highly Confidential लिखता है, लेकिन Fabric के अंदर ये कभी decide नहीं करता कि item कौन खोलेगा। ये episode बताता है कि labels actually कहाँ काम करते हैं और कहाँ सिर्फ़ lock का भरोसा दिलाते हैं। What we discuss The pattern we keep seeing in the fieldHow it actually works underneath the abstractionWhere the obvious answer breaksA real Reddit/Microsoft Q&A question unpackedF-SKU realism — what this actually costsWhen the rejected approach is actually rightThe concrete recommended architectureRisks of the recommended pathThe architectural principle to take home Key takeaways वो एक तख्ती है। हमेशा से बस एक तख्ती थी।अभी, कहीं न कहीं, एक lakehouse है जिसके header में Highly Confidential लिखा है। और एक contributor उसमें लिख रहा है। और सब मान रहे हैं कि label ही उन्हें रोक रहा है।Query pattern दिखाइए। अगर pattern है "restrict करो कि कौन खोले" — workspace design कीजिए। अगर pattern है "protect करो जो बाहर जाए" — label design कीजिए। इन दोनों को मिलाना — वहीं से forum पर हर thread शुरू होता है। From the video Demo 1: The Label Changed NothingArchitecture film: Two questions two mechanismsArchitecture film: Eight routes onto an itemArchitecture film: Where protection startsArchitecture film: Where label and permission meet Resources Sensitivity labels in Power BISensitivity labels troubleshootingProtected sensitivity labels in Fabric and Power BIRoles in workspacesPermission modelRow-level security (RLS) with Power BIInformation protection in Microsoft FabricProtection policies in Microsoft FabricRestrict access to content by using sensitivity labels to apply encryptionExport data from a Power BI visualizationApply sensitivity labels to Fabric itemsDefault label policy for Fabric and Power BIMandatory label policy for Fabric and Power BIDomain-level default sensitivity labelsInformation protection tenant settings About the show AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon. Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday. Submit your case Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing. यह podcast AI से बनाया गया है। दोनों आवाज़ें synthetic हैं: Matthias की आवाज़ cloned है और Fabia एक designed AI co-host है। Brand design based on fabricperiodictable.com.
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    10 dk.
  • 483 Pages और एक Design Decision

    483 Pages और एक Design Decision
    30 Oct 2026
    एक Expression, आधा Data Ceiling Episode 30 • 2026-07-24 Duration: 10:55 Paginated reports में कोई data model नहीं होता – और इसी एक design decision से production की हर limit समझ आती है। Silent data drops से लेकर tenant-wide security door तक, यह episode वो सवाल पूछता है जो tool choice खुद तय कर देता है। What we discuss How it actually works underneath the abstractionThe pattern we keep seeing in the fieldA real Reddit/Microsoft Q&A question unpackedWhere the obvious answer breaksF-SKU realism — what this actually costsWhen the rejected approach is actually rightRisks of the recommended pathThe architectural principle to take home Key takeaways और एक Diagnostics button जो किसी ने दबाया नहीं, वहीं बैठा है, यह बताने को तैयार कि क्यों।कहीं अभी, एक Monday-morning subscription एक ऐसा Weekday expression लिए जा रहा है जो किसी को याद नहीं, एक ऐसी ceiling की तरफ़ जो पहले ढलान थी और अब खाई है।Query pattern दिखाइए। अगर aggregation सही जगह पर है, report scale करेगी। नहीं है, तो कोई capacity tier नहीं बचाएगा। यही वो decision है जो actually matter करता है। Resources What are paginated reports in Power BI?When to use paginated reportsPaginated reports in the Power BI servicePerformance and scalabilityFAQPaginated Report definitionAccess the paginated report editorSQL Server Reporting Services (Wikipedia)RDL Schema SpecificationPlan to migrate .rdl reportsSupported data sourcesConnect via Power QueryCreate and use the paginated report visualEmail subscriptionsExport Power BI paginated reports About the show AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon. Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday. Submit your case Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing. यह podcast AI से बनाया गया है। दोनों आवाज़ें synthetic हैं: Matthias की आवाज़ cloned है और Fabia एक designed AI co-host है। Brand design based on fabricperiodictable.com.
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    10 dk.
  • Blank Report के पीछे 5,000 Files

    Blank Report के पीछे 5,000 Files
    23 Oct 2026
    Blank Report के पीछे 5,000 Files Episode 42 • 2026-10-23 Duration: 11:44 Medallion Fabric का recommended design approach है — लेकिन ये पाँच building blocks में से सिर्फ़ एक है, और वो block जो maintenance का ऐसा bill भेजता है जो architecture diagram पर कहीं नहीं दिखता। File-count guardrail, Direct Lake on OneLake, schema-enabled lakehouses की maintenance gap, और कब ये पूरा pattern overkill है। What we discuss How it actually works underneath the abstractionThe pattern we keep seeing in the fieldWhere the obvious answer breaksA real Reddit/Microsoft Q&A question unpackedF-SKU realism — what this actually costsWhen the rejected approach is actually rightThe concrete recommended architectureThe architectural principle to take home Key takeaways इस वक़्त कहीं एक table बैठा है F64 पर, 4,000 files के साथ। Cliff का 80 percent। और product में कहीं कोई mention नहीं आने वाला।Pattern तय करता है platform। और उस answer की कीमत है maintenance। एक schedule, एक monitor, और कोई जो जानता हो कि TABLETRAITS कहाँ मिलता है।Architecture कोई धर्म नहीं है। Medallion एक सवाल का जवाब देता है — हर stage किस चीज़ के लिए trusted है — और बाकी चार सवाल बाकी चार bricks के हैं। From the video Architecture film: Five building blocksArchitecture film: Each layer is a contractDemo 1: Bronze That Copies NothingDemo 2: Silver as a ContractArchitecture film: When recipe is wrong Resources Understand medallion architecture for Fabric with OneLakeOneLake patterns and foundational capabilitiesCommon dbt job patternsModern data warehouse medallion architecture in Microsoft FabricWhat are materialized lake views?Spark SQL referenceOptimal refreshCross-workload table maintenance and optimizationWhat's newLakehouse Maintenance activityApache Spark billing and utilizationextended capabilitiesCDF pageData quality in materialized lake viewsManage materialized lake views lineage About the show AI-generated voices. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon. Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday. Submit your case Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing. यह podcast AI से बनाया गया है। दोनों आवाज़ें synthetic हैं: Matthias की आवाज़ cloned है और Fabia एक designed AI co-host है। Brand design based on fabricperiodictable.com.
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    12 dk.
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