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Русский(RU) fabric api ai и поиск нужного AI-интерфейса в Microsoft Fabric

Microsoft Fabric integrates data tools with OneLake at its core

Microsoft Fabric is a comprehensive SaaS analytics platform designed to unify data integration, engineering, warehousing, data science, real-time analytics, and Power BI. Its core component, OneLake, acts as a central, tenant-wide data lake built on Azure Data Lake Storage Gen2, ensuring data consistency by defaulting to Delta Parquet format. The platform supports various workloads including data ingestion via Data Factory, data transformation in Data Engineering, SQL-based warehousing, ML model development in Data Science, and streaming analytics with Real-Time Intelligence, all while enabling Power BI to query data directly through Direct Lake mode. AI

IMPACT Microsoft Fabric aims to streamline AI and data workflows by integrating disparate tools, potentially accelerating development and deployment of AI solutions.

RANK_REASON The article discusses the architecture and integration points of Microsoft Fabric, a SaaS analytics platform, and its various APIs and features.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Microsoft Fabric integrates data tools with OneLake at its core

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The article discusses the architecture and integration points of Microsoft Fabric, a SaaS analytics platform, and its various APIs and features.
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2 independent sources
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product, infra
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High
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54 days old
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COVERAGE [2]

  1. Towards AI TIER_1 English(EN) · Sunil kumar Reddy ·

    Microsoft Fabric Architecture

    <p>A few months back, a client asked me to “just move everything to Fabric” like it was a weekend project. I laughed, then I stopped laughing, because underneath that one word, Fabric, sits a genuinely sprawling system that tries to do the job of five or six separate products at …

  2. dev.to — LLM tag TIER_1 Русский(RU) · Promptra Team ·

    fabric api ai and finding the right AI interface in Microsoft Fabric

    <p>До endpoint нужно ответить на более простой вопрос: что именно команда хочет сделать внутри Fabric. Не «какой URL дернуть», а какое действие пользователь выполняет - задать вопрос к данным на естественном языке, прогнать классификацию в ноутбуке, создать артефакт из пайплайна …