Design MICROSOFT FABRIC Data Project with Medallion Architecture | Lakehouse + Spark + Power BI
Welcome to series on Microsoft Fabric! In this video tutorial, we'll cover the Medallion Architecture with end-to-end real world data engineering project to help all data professionals whether data engineer, data analyst, BIE or business user with this new unified SaaS data platform by Microsoft.
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what we have covered in this video:
Help you understand Microsoft Fabric concepts related to Medallion Architecture, Data Engineering Workload, Delta Tables, Delta Parquet Format, Lakehouse, Datawarehouse & build an end-to-end data engineering project by implementing Medallion Architecture, Whether you're a data professional, developer, analyst or just exploring Fabric for the first time, this guide will walk you through everything — no prior experience needed!
Links:
https://app.fabric.microsoft.com/
https://github.com/nextgendatahub/MedallionLakehouseFabric
https://github.com/nextgendatahub/MedallionLakehouseFabric/tree/main/ShoppingMart_StructuredData
https://github.com/nextgendatahub/MedallionLakehouseFabric/tree/main/ShoppingMart_UnstructuredData
Note - GitHub repository contains structured csv data files, unstructured json files
🔹 What you'll learn:
Fabric Lakehouse - Delta Parquet Format and ACID
Medallion Architecture - Bronze, Silver, Gold Layers
Fabric Data Factory - Orchestrate end to end meta data driven pipeline in Fabric
Fabric Data Engineering - Learn how to use pyspark Notebook Silver & Gold Layer transformations
Sematic Model - Build a semantic model in Fabric
Reporting - Build report on top of semantic model in Fabric with KPIs provided as part of real world business project
💡 Microsoft Fabric is an all-in-one analytics SaaS platform combining Power BI, Synapse, and Data Factory
🔔Hope this video was useful and you learned something new :) Don’t forget to like, subscribe, and hit the bell icon for more Microsoft Fabric tutorials and updates!
#MicrosoftFabric #DataEngineering #Azure #pyspark #MedallionArchitecture #Lakehouse #EndToEndDataProject