Microsoft Fabric Deep Dive Fabric Guide

What you'll learn
Master Data Integration Techniques
Develop Proficient Data Analytics Skills
Implement and Manage Data Governance
Optimize Data Workflows for Efficiency
Requirements
No coding is required, simple UI based learning, you will learn whatever you need here
Description
"This course offers a comprehensive journey through Microsoft Fabric, guiding you from foundational concepts to advanced techniques. You'll learn how to integrate diverse data sources, leverage powerful analytics tools, and implement robust data governance practices. Through practical exercises and real-world case studies, you'll gain hands-on experience to optimize data workflows and apply Microsoft Fabric's capabilities effectively in your projects.""Dive deep into Microsoft Fabric with this practical course designed to take you from basics to mastery. Explore essential data integration methods, advanced analytics techniques, and effective data governance strategies. Engage with real-world scenarios and hands-on exercises to enhance your skills and optimize data workflows, preparing you to leverage Microsoft Fabric's full potential in your data management and analytics tasks.""Master Microsoft Fabric with our in-depth course that covers everything from foundational principles to advanced applications. This guide will teach you how to seamlessly integrate data, perform advanced analytics, and manage data governance within Microsoft Fabric. Through practical exercises and real-life case studies, you will develop the skills needed to design efficient data workflows and apply Microsoft Fabric's tools to solve complex data challenges.""This course provides a practical and thorough exploration of Microsoft Fabric, moving from fundamental concepts to advanced mastery. You will learn how to integrate various data sources, utilize analytics tools for actionable insights, and enforce effective data governance. Hands-on practice and real-world examples will equip you with the skills to optimize data workflows and apply Microsoft Fabric's features to enhance your data management and analytics capabilities."
Overview
Section 1: Introduction
Lecture 1 Introduction to Microsoft Fabric || Getting Started with Microsoft Fabric
Lecture 2 Hands-On : Create Your First Workspace in Fabric | General Terminology | Roles
Lecture 3 Hands-On : Create your First Lakehouse | Install OneLake Explorer &Data Studio
Lecture 4 Hands-On : Create Your First warehouse in Fabric | | Lakehouse vs Warehouse
Lecture 5 Hands-On : Create your First Shortcuts to Lakehouse | Warehouse | Data Lake
Section 2: Development of Data Pipeline and Dataflow Gen2
Lecture 6 Hands-On : Introduction to Data Factory Experience | Pipelines & Dataflows
Lecture 7 Hands-On : End-to-End Scenario with Data Factory Pipelines and Dataflows Gen2
Lecture 8 Hands-On : End-to-End Mini Project : Data Factory Pipelines and Dataflows Gen2
Lecture 9 Hands-On :Copy data from Azure SQL DB to Lakehouse Table | Query | Stored proc
Lecture 10 Hands-On :Copy Multiple tables from Azure SQL DB to Lakehouse dynamically
Lecture 11 Hands-On : Moving Multiple Folders from Data Lake Storage Gen2 to Lakehouse
Lecture 12 Hands-On : Copy data from REST API to Lakehouse in Fabric using Bearer Token
Section 3: Data Pipelines which ingest data from On Premise to Cloud
Lecture 13 Hands-On : Ingest Data From On Premise SQL Server to Lakehouse| Data Gateway
Lecture 14 Hands-On : Ingest data from On premise server to fabric| Install Data Gateway
Section 4: Incremental data pipelines and pipeline logging and scheduling
Lecture 15 Hands-On : Ingest data from On premise SQL server to Warehouse Incrementally
Lecture 16 Hands-On : Copy data from Azure SQL DB to Warehouse using table, query & SP
Lecture 17 Hands-On : Logging Fabric Pipeline Logs to Warehouse table using stored proc
Lecture 18 Hands-On Incremental data ingestion from Azure SQL DB to Warehouse in Fabric
Lecture 19 Hands-On : Microsoft Fabric: Multiple table Incremental data load from Azure SQL
Lecture 20 20. Hands-On: Filter file using data pipelines in Fabric || Filter Activity
Section 5: Advanced pipelines like dependency pipelines and dynamic schema and cross cloud
Lecture 21 Hands-On: How to run pipeline when dependency job is completed || Event Based
Lecture 22 Hands-On :Combining Excel Files from different data providers 2 Unified Table
Lecture 23 Hands-On: Copy data from AWS S3 Storage to Lakehouse using Data Pipelines
Lecture 24 Hands-On: Multiple tables Dynamic mapping in Copy Activity using config table
Lecture 25 Hands-On: Merge Different Excel data of different sheets to unified table
Lecture 0 Hands-On: How to handle data pipeline concurrency issue in Microsoft Fabric
Lecture 0 Hands-On: How to Implement custom pipeline template for reusability |Template
Lecture 0 Hands-On: Copy data from On premise SQL Server to Lakehouse using pipelines
Lecture 0 Hands-On: Copy data from On premise File System to Lakehouse using pipelines
Lecture 0 Hands-On: Copy data from snowflake to Lakehouse |Snowflake Free Trail Account
Data Engineers, Data Architects, Data Science and Data Analyst,Anybody who wants to become Data Architect
Homepage

https://www.udemy.com/course/microsoft-fabric-deep-dive-the-complete-guide/