Foundations of Microsoft Fabric

Discover the power of Microsoft Fabric and shape your future in data. Learn essential data engineering and analytics, and craft cutting-edge solutions with OneLake and Delta Lake.

1 hours
17 videos
26 exercises
203 xp

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An outline of this training course

This training course outlines an introduction to the platform's architecture and core concepts, moving into data engineering with a focus on data ingestion, management through Delta Lake and OneLake, and analytics using Kusto Query Language (KQL). It emphasizes real-time analytics integration with Power BI, including version control and direct data access, alongside practical applications like cross-database queries and managing data flows and pipelines. The course aims to equip learners with the skills to utilize Microsoft Fabric for efficient and scalable data solutions.


What is needed to take this course 

Participants should have a basic understanding of cloud computing and data management, some familiarity with query languages like SQL, and access to Microsoft Fabric and Power BI for hands-on exercises. A computer with internet access is also necessary, catering to those interested in exploring big data technologies and analytics.


Who is this course for

Designed for data engineers, data scientists, analysts, IT professionals, and developers interested in Microsoft Fabric's data management and analytics capabilities, as well as business intelligence professionals focusing on Power BI integration. It's also suitable for anyone eager to explore big data and cloud technologies.


Details of what you will learn in this course

In this Microsoft Fabric course, you will learn:

  • Microsoft Fabric Architecture: Gain a solid understanding of the platform's architecture, including how it handles data ingestion, storage, and management.
  • Data Management with Delta Lake and OneLake: Dive into data engineering techniques for managing large datasets, leveraging Delta Lake for ACID transactions, and using OneLake for unified data access.
  • Analytics with Kusto Query Language (KQL): Explore the power of KQL for performing advanced analytics, understanding its syntax, and how to apply it to real-world data scenarios.
  • Power BI Integration: Learn how to integrate Microsoft Fabric with Power BI for creating compelling data visualizations, reports, and dashboards that drive decision-making.


What you get with the course

With this course, you will receive expert-led instruction, comprehensive materials, and Power BI integration techniques, equipping you with the skills to manage and analyze data effectively.


Program Level



Field(s) of Study

Data Engineering, Cloud Computing, Business Intelligence and Analytics, Big Data Technologies, Information Technology


Instruction Delivery Method

QAS Self-study


***This course was published in March 2024***


Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website:


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Course Overview


Introduction to Microsoft Fabric


Exploring the Fabric Ecosystem


Architectural Overview and Setup


Data Engineering Basics in Fabric


Conclusion and Next Steps


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Henry Habib

Enterprise DNA Expert

  • Improved processes and facilitated organizational change using both standard and bespoke tools (Power Platform, data analytics, custom built programs, etc.) for over 6 F500 companies spanning financial services, retail, and telecom 
  • Led training and employee-tool empowerment sessions (SharePoint, Power Apps, Power Automate) for several organization, the most recent being a large governmental organization of over 6,000 members, with advisory add-ons 
  • Accomplished Power Platform and Office 365 trainer (specializing in SharePoint, Power Apps, and Power Automate), with over 100 hours of recorded content and over 30,000 paid students on e-learning platforms 
  • Background in Accounting and Finance, with a specialization in Economics 

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