Welcome to series on Microsoft Fabric! In this video tutorial, we'll cover all the important Fabric components & concepts with end-to-end 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 One Lake, Data Engineering Workload, Delta Tables, Delta Parquet Format, Lakehouse, Datawarehouse & build an end-to-end data engineering project. 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:
Note - GitHub repository contains
csv data file
Code for Schema & Fact, Dimension tables in the DWH
Store procedure for loading the data from Lakehouse to Dim & Fact tables in Datawarehouse
🔹 What you'll learn:
Fabric Overview
Fabric One Lake - Delta Parquet Format and integration with all compute engines
Data warehouse Vs Data Lake Vs Lakehouse concept evolution
Fabric Data Factory - Orchestrate end to end pipeline in Fabric
Fabric Data Engineering - Learn how to use pyspark Notebook and Dataflow for Lakehouse files and delta table transformation
Fabric Data Warehouse: Learn how to use SQL end point to build Data warehouse on top of Fabric Lakehouse
Sematic Model - Build a star schema relational model in Fabric
Reporting - Build report on top of semantic model in Fabric
💡 Microsoft Fabric is an all-in-one analytics SaaS platform combining Power BI, Synapse, and Data Factory — and this trial gives you hands-on access to all of it.
🔔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!
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