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Microsoft Fabric Data Engineering Mastery: A Complete Guide

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Hands-On Learning with Azure Data Factory, Spark & Medallion Architecture for Scalable Data Solutions


1 - Introduction
  • 1 - Introduction to Microsoft Fabric Data Engineering
  • 2 - Course Resources for Dataflow SQL and Python.txt
  • 2 - How to take this Course
  • 3 - Introduction to Microsoft Fabric
  • 3 - Intro-to-MS-Fabric.pdf
  • 3 - Wilsonmargitbubio Reference for some Images I used Nice Blog Article.txt
  • 4 - Car Sales Case Study and Fabric Technology Stacks
  • 4 - Intro-to-MS-Fabric-Case-Studies.pdf
  • 5 - Introduction to Microsoft Fabric Data Engineering and Certification Alignment.html

  • 2 - Medallion Architecture and Data Modeling
  • 6 - Introduction to Medallion Architecture
  • 6 - Medallion-Architecture-Introduction.pdf
  • 7 - Medallion Architecture Data Layers Explained
  • 7 - Medallion-Architecture-Layers.pdf
  • 8 - Data Model Overview
  • 8 - Medallion-Architecture-Data-Modeling.pdf

  • 3 - Setting up Microsoft Fabric
  • 9 - Create a Free Microsoft Fabric Account
  • 9 - Microsoft Fabric Getting Started.txt
  • 10 - Microsoft Fabric Home Page.txt
  • 10 - Setup Your First Microsoft Fabric Workspace
  • 11 - Car Prices from the Kaggle Vehicle Sales Dataset.txt
  • 11 - Setup Raw Lakehouse
  • 11 - car-prices.csv.zip

  • 4 - Data Engineering with Dataflow Gen2
  • 12 - Course Resources for Dataflow SQL and Python.txt
  • 12 - To Bronze Using Dataflow Gen2 to Ingest Data
  • 12 - To-Bronze.pdf
  • 13 - To Silver Intro to Ingesting Data to Silver Layer
  • 13 - To-Silver.pdf
  • 14 - To Silver Using Dataflow Gen2 to Ingest Data part 1
  • 15 - To Silver Using Dataflow Gen2 to Ingest Data part 2
  • 16 - To Silver Addressing Dataflow Gen2 Refresh Issue
  • 17 - To Gold Intro to Ingesting Data to Gold Layer
  • 17 - To-Gold.pdf
  • 18 - To Gold Addressing Fix to Silver Layer Data
  • 19 - To Gold Preparing Dimensions using Dataflow Gen2 part 1
  • 20 - To Gold Preparing Dimensions using Dataflow Gen2 part 2
  • 21 - To Gold Preparing CarSales Fact Table using Dataflow Gen2
  • 22 - Visualization Dataflow Gen 2 Semantic Model
  • 23 - Visualization Using PowerBI to Visualize Data
  • 24 - Visualization Dataflow Gen 2 Data Fixes
  • 25 - Pipelines Automating Data Engineering from Raw to Gold Layer

  • 5 - Data Engineering with SQL
  • 26 - Course Resources for Dataflow SQL and Python.txt
  • 26 - Introduction.pdf
  • 26 - Introduction to Data Engineering with SQL
  • 27 - Course Resources for Dataflow SQL and Python.txt
  • 27 - SQL Workspace Setup
  • 28 - Course Resources for Dataflow SQL and Python.txt
  • 28 - To Bronze Data Pipeline Copy Activity
  • 29 - SQL-To-Silver.pdf
  • 29 - To Silver Intro to Ingesting Data in the Silver Layer
  • 30 - To Silver Writing Silver Layer Queries part 1
  • 31 - To Silver Writing Silver Layer Queries part 2
  • 32 - To Silver Writing Silver Layer Queries part 3
  • 33 - Azure Data Studio.txt
  • 33 - To Silver Using Azure Data Studio alongside MS Fabric
  • 34 - To Gold Intro to Ingesting Data in the Gold Layer
  • 35 - To Gold Dimension Modeling using SQL part 1
  • 36 - To Gold Dimension Modeling using SQL part 2
  • 37 - To Gold Dimension Modeling using SQL part 3
  • 38 - To Gold Creating Pipeline for Automation
  • 39 - To Gold Data Visualization of SQL Prepared Gold Layer

  • 6 - Using PySpark and Python for Microsoft Fabric Data Engineering
  • 40 - Course resources for Dataflow SQL and Python.txt
  • 40 - Introduction
  • 40 - Introduction.pdf
  • 41 - Course resources for Dataflow SQL and Python.txt
  • 41 - Setting up PySpark Workspace in Microsoft Fabric
  • 42 - Course resources from Dataflow SQL and Python.txt
  • 42 - To Bronze Using Python and PySpark to Ingest Data
  • 43 - To Silver Preparing Silver Layer using PySpark and Python part 1
  • 44 - To Silver Preparing Silver Layer using PySpark and Python part 2
  • 45 - To Silver Preparing Silver Layer using PySpark and Python part 3
  • 46 - PySpark-To-Gold.pdf
  • 46 - To Gold Dimension Modeling using PySpark and Python part 1
  • 47 - To Gold Dimension Modeling using PySpark and Python part 2
  • 48 - To Gold Dimension Modeling using PySpark and Python part 3
  • 49 - To Gold CarSales Fact table preparation using PySpark and Python
  • 50 - To Gold Running Notebooks via Pipelines
  • 51 - To Gold Preparing Semantic Layer
  • 52 - To Gold Visualizing Data using PowerBI Reports
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