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Microsoft Fabric: The Ultimate Guide (with Projects)

Category: Tutorials



Microsoft Fabric: The Ultimate Guide (with Projects)
Microsoft Fabric: The Ultimate Guide (with Projects)
2025-04-06
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 6.05 GB | Duration: 12h 36m


Warehouses, Lakehouses, Data Pipelines, Semantic Models, Power BI, Real Time Intelligence and more! (DP-600)

What you'll learn
Data Warehousing: Understand the principles of data warehousing, master SQL for querying and managing data, and learn how to design and implement data warehouse
Data Engineering: Develop robust data engineering pipelines using Spark (PySpark), manage large-scale data transformations, and automate workflows efficiently.
Data Factory: Master the use of Microsoft's Data Factory for orchestrating and automating data movement and transformation.
Real-Time Intelligence: Leverage real-time data processing capabilities to gain instant insights and act swiftly in dynamic business environments.
Power BI: Create powerful, interactive reports and dashboards.
A comprehensive end-to-end understanding of Microsoft Fabric

Requirements
Access to either Personal Azure Account (must be over 90 days old) or Companies Azure Account

Description
** Important Notice: As a pre-requisite for this course please make sure you have access to either your companies Azure account or your own personal Azure account that has been created at least 90 days ago. Otherwise you will not be able to start a Free Trial of MS Fabric **Mastering Microsoft Fabric is your ticket to staying ahead in today's data-driven world. With data skills in high demand, learning this all-in-one platform will set you apart in the job market. From automating data processes to creating real-time insights, Microsoft Fabric equips you with the cutting-edge tools needed by top employers. Whether you're looking to boost your career or lead your companies data strategy, becoming proficient in Microsoft Fabric is a game-changer. Don't miss out on the opportunity to become an in-demand expert in the fast-growing field of data analytics and engineering.This course offers a balanced mix of theory and practical application. You'll dive deep into the concepts behind each component of Microsoft Fabric, followed by hands-on walkthroughs that allow you to apply what you've learned. The multi-experience course projects will challenge you to integrate your knowledge across different Fabric tools, preparing you to handle real-world scenarios with confidence.What You'll Learn:Data Warehousing: Understand the principles of data warehousing, master SQL for querying and managing data, and learn how to design and implement data warehouses within Microsoft Fabric.Power BI: Create powerful, interactive reports and dashboards.Data Engineering: Develop robust data engineering pipelines using Spark (PySpark), manage large-scale data transformations, and automate workflows efficiently.Data Factory: Master the use of Microsoft's Data Factory for orchestrating and automating data movement and transformation.Real-Time Intelligence: Leverage real-time data processing capabilities to gain instant insights and act swiftly in dynamic business environments.Course Features:Theory Lectures: Grasp the foundational concepts and methodologies behind each component of Microsoft Fabric.Hands-On Walkthroughs: Apply your learning in real-time with detailed, step-by-step walkthroughs of key tools and features.Multi-Experience Projects: Engage in comprehensive projects that require you to integrate multiple Fabric experiences, simulating real-world business challenges.By the end of this course, you will be proficient in using Microsoft Fabric to design, build, and manage comprehensive data solutions. Whether you're a data engineer, analyst, or business intelligence professional, this course will equip you with the skills needed become an expert with Microsoft Fabric.

Who this course is for:
Anyone interested in learning Microsoft Fabric, Data Analysts, Data Engineers, Business Intelligence Professionals

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