Microsoft Fabric Tutorial (9+ HOURS) | Microsoft Fabric for Beginners

Microsoft Fabric Tutorial | Fabric Data Engineering | Fabric Data Factory | Fabric Data Warehouse

Welcome to our 9+ hour full course on Microsoft Fabric, the cutting-edge technology transforming the data landscape! Whether you're a beginner or an experienced data professional, this course is for YOU!

🔍 What You'll Learn:
- Fabric One Lake: Understand the foundational component of Microsoft Fabric and how it integrates with your data strategy.
- Fabric Data Factory: Master the art of data integration and orchestration to streamline your workflows.
- Fabric Data Engineering: Dive deep into Lakehouse and transformation techniques.
- Fabric Data Warehouse: Learn how to build and manage robust data warehouses for efficient data storage and retrieval.
- Fabric Data Science: Explore advanced analytics and machine learning capabilities within Microsoft Fabric.
- Fabric Deployment Pipelines for CI/CD: Implement continuous integration and deployment practices to enhance your development process.
- Direct Lake in Fabric: Discover how to leverage Direct Lake for real-time data access and analysis.
- Fabric Shortcuts: Eliminate Data Movement

Data Source Link : https://github.com/anshlambagit/Fabric-Tutorial/tree/main/Data
Azure End To End Data Project : https://youtu.be/6_hXeNg9TJ0?si=9naCovTmgcZn0NQQ
Databricks Tutorial : https://youtu.be/P5pEeR3xQpI?si=XbQYrYkrVp2jKjfE
PySpark Full Course : https://youtu.be/94w6hPk7nkM?si=Y2EUnifXrZRK3MOj

Telegram Channel - https://t.me/anshlambadatafam
Telegram Group - https://t.me/+9jR_HQ4YhBMzY2Q1

Timestamps:
0:00 Introduction
06:31 What is Microsoft Fabric
20:23 Microsoft Fabric Tenant and Fabric Capacity
30:23 How to create Microsoft Fabric Free Account
39:32 Microsoft Fabric Demo
1:08:09 Microsoft Fabric One Lake
1:26:05 Delta Parquet File Format
1:35:53 Fabric Data Warehouse vs Lakehouse vs KQL Database
2:12:47 Data Ingestion in Microsoft Fabric
2:41:29 Fabric Data Factory
3:31:58 Real-Time Scenarios in Fabric Data Factory
3:35:43 Lookup Activity in Fabric Data Factory
3:41:27 For Each Activity in Data Factory
3:53:33 Azure Data Lake Storage Gen2
3:59:22 Ingest Data from Azure Blob to Fabric Lakehouse
4:11:33 Data Flow Gen 2 in Fabric
4:18:41 Data Transformations using Data Flow Gen 2
4:43:52 ETL Pipeline using Data Flow Gen 2
4:50:31 Invoke Pipeline Fabric
4:59:04 Send an email notification in Fabric on Pipeline Failure
4:59:21 Triggers and Monitoring in Data Factory
5:12:58 Fabric Data Engineering
5:50:20 Microsoft Fabric Shortcuts
6:03:53 Data Ingestion using PySpark
6:15:51 Medallion Architecture Lakehouse
6:38:24 Data Transformation using PySpark
6:57:20 Data Optimization in Fabric Lakehouse
7:02:23 Spark Utilities in Fabric Lakehouse
7:11:11 Fabric Data Warehouse
7:22:22 CTAS in Fabric Data Warehouse
7:31:04 Dimensional Data Modeling in Fabric
7:39:23 Fact and Slowly Changing Dimensions
7:55:30 Views in Fabric Data Warehouse
7:58 Visual Query Editor in Fabric Warehouse
8:05:11 Fabric Data Science
8:22:11 Data Wrangler in Fabric Data Science
8:30:31 Data Governance in Fabric (Lineage)
8:46:16 Fabric Deployment Pipeline - CI CD
8:59:26 Direct Lake vs Direct Query vs Import Mode in Fabric

Original Dataset - https://www.kaggle.com/datasets/ukveteran/adventure-works/data

Connect with ME - https://www.linkedin.com/in/ansh-lamba-793681184/

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⭐Hashtags⭐
#azure #microsoftfabric #dataengineering #datawarehouse #databricks #pyspark #dataengineer