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RAG Pipeline using SQL Database in Fabric

RAG Pipeline using SQL Database in Fabric

Introduction This project provides step-by-step guidance for building a Retrieval Augmented Generation (RAG) pipeline to make your data AI-ready using Microsoft. The RAG pipeline is triggered every time a file is uploaded to Azure Blob Storage. The pipeline processes...

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Build Event-Driven Workflow in Azure & Fabric Events

Build Event-Driven Workflow in Azure & Fabric Events

Introduction These days, things move at a rapid pace online, so discovering news and acting quickly is not an option; it's a necessity. Whether it is automating the handling of files, handling data processes, or triggering alerts, the ability to respond quickly keeps...

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Materialized Views in Microsoft Fabric Lakehouse

Materialized Views in Microsoft Fabric Lakehouse

Introduction Data engineers often face performance challenges when querying large datasets repeatedly. Running the same transformations or aggregations each time a query is executed consumes resources and increases query time. Microsoft Fabric introduces Materialized...

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User Data Functions in Data Pipelines

User Data Functions in Data Pipelines

In today’s data-driven world, speed and collaboration are everything. Data teams are expected to analyze, experiment, and deploy solutions faster than ever — without compromising quality. Microsoft Fabric introduces a powerful tool to support this mission: User Data...

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