The Definitive Guide to Microsoft Fabric
About this course
This Specialization provides a comprehensive understanding of Microsoft Fabric, beginning with its architecture and data ingestion techniques. In the first course, you’ll explore how to get started with Fabric and gain practical experience with OneLake, learning to ingest and unify data. You’ll also master transforming data and turning your Lakehouse into a powerful tool for analysis, organizing data between the data warehouse and data lake for efficient management and analysis. The second course dives into advanced data transformation techniques and semantic model design to drive business insights. You’ll learn strategies for real-time data processing, business analysis, and reporting, equipping you to turn data into actionable insights. This course also prepares you to handle complex data challenges, including designing efficient models and implementing sophisticated transformations. In the final course, you’ll integrate AI into Microsoft Fabric to enable smarter decision-making and automation. You’ll also learn about platform optimization, data security, team collaboration, and managing platform costs. By the end of this Specialization, you’ll be equipped with the skills to optimize Microsoft Fabric for business analysis, ensuring you can create a secure, efficient, and cost-effective data platform for your organization.
75/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding of Microsoft Fabric architecture
- data ingestion techniques
- data transformation skills
- strategies for real-time data processing
- business analysis and reporting
- AI integration for smarter decision-making
- data security and platform optimization
Course objectives
- equip students with skills to optimize Microsoft Fabric
- prepare for complex data challenges
- teach cost-effective data platform management
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