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Introduction to Microsoft Fabric: Exploring Key Services

Beginner's Guide to Understanding and Navigating Microsoft Fabric's Core Services
Free tutorial
Rating: 4.1 out of 5 (28 ratings)
806 students
1hr 13min of on-demand video
English
English [Auto]

Introduction to Microsoft Fabric
All About OneLake
Services Provided Within Microsoft Fabric
Deep Dive into Data Engineering, Data Factory, Data Warehousing and Power BI

Requirements

  • This course is designed for beginners. No prior knowledge of Microsoft Fabric, cloud computing, or data analytics is required. Anyone interested in learning about Microsoft Fabric can enroll in this course.

Description

Welcome to "Introduction to Microsoft Fabric: Exploring Key Services," a beginner-friendly course that provides a comprehensive introduction to Microsoft Fabric and its core components. Whether you’re new to the tech world or looking to broaden your cloud services knowledge, this course offers the essential insights needed to understand Microsoft Fabric.

In this course, you will:

  • Uncover Microsoft Fabric: Begin with an overview of Microsoft Fabric, understanding its role within the Microsoft ecosystem and how it supports modern data solutions.

  • Explore OneLake: Dive into OneLake in Microsoft Fabric, discovering its significance and how it serves as a unified data lake solution for your organization.

  • Understand Lakehouse and Warehouse: Learn the differences and use cases of Lakehouse and Warehouse in Microsoft Fabric, and how these architectures enable efficient data storage, processing, and analytics.

  • Work with Notebooks and Environments: Get hands-on with Notebooks in Microsoft Fabric and explore the concept of Environments, understanding their role in collaborative data science and analytics workflows.

  • Integrate with Power BI: See how Power BI integrates within Microsoft Fabric, enabling powerful data visualization and reporting capabilities that drive informed decision-making.

  • No Prerequisites Required: This course is designed for beginners, with no prior technical experience needed. We’ll guide you step-by-step through each concept.

By the end of this course, you’ll have a well-rounded understanding of Microsoft Fabric and its key services, empowering you to navigate and utilize these tools in real-world applications.

Enroll today to start your journey into Microsoft Fabric!

Who this course is for:

  • Beginners in Technology: If you are new to the tech world and want to start your journey with a foundational understanding of Microsoft Fabric, this course is for you. No prior experience is needed.
  • Students and Fresh Graduates: Those pursuing studies in computer science, information technology, or related fields will find this course valuable as an introduction to Microsoft Fabric, enhancing their knowledge of modern data solutions.
  • Professionals Exploring New Skills: If you’re a professional looking to expand your skill set in cloud services and data management, this beginner-friendly course will provide a solid introduction to Microsoft Fabric, helping you transition smoothly into more advanced topics later on.
  • Non-Technical Individuals: If you are in a non-technical role but want to understand the basics of Microsoft Fabric and its services, this course is designed to be accessible and easy to follow.

Instructor

Data Analyst
  • 4.2 Instructor Rating
  • 392 Reviews
  • 4,811 Students
  • 6 Courses

Dynamic Data Analyst proficient in Microsoft Power BI and Fabric with 1.5 years of experience,


Microsoft certified Fabric Analytics Engineer and  Data analyst with a knack for extracting actionable insights from diverse data sources.


Passionate about knowledge sharing through engaging blogs and YouTube videos dedicated to Power BI tutorials, tips, and best practices.


Experienced in creating interactive dashboards and reports that captivate audiences and facilitate strategic discussions.


Master's degree in Data Science and Analytics complemented by a bachelor's degree in mathematics hons, underscoring a strong foundation in quantitative analysis.


Proven track record of delivering results through meticulous attention to detail, strong technical aptitude, and a relentless pursuit of excellence.


Committed to continuous learning and staying ahead of industry trends to drive innovation and make a meaningful impact in the field of data analytics.

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