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/ Please Hit the SUBSCRIBE button❤️to support me and my hard work. ⭐Hashtags⭐ #azure #microsoftfabric #dataengineering #datawarehouse #databricks #pyspark #dataengineer