DataNova Academy Learning Path
Cloud Data Platforms
Build fluency across the Microsoft cloud data stack used by modern enterprises.
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This learning experience is currently in development.
Join the waiting list to be notified when enrollment opens.
What You'll Learn
- Microsoft Fabric fundamentals and architecture
- Azure Databricks for lakehouse workloads
- Azure Data Factory orchestration patterns
- Azure Data Lake and Synapse concepts
- Modern cloud analytics workflows
- Platform selection and integration thinking
Who It's For
- Data professionals adopting Microsoft platforms
- Cloud and analytics engineers
- Teams standardizing on Azure data services
- Learners preparing for enterprise platform roles
Skills You'll Gain
- Fabric and Databricks literacy
- Pipeline orchestration skills
- Cloud analytics architecture awareness
- Multi-service Microsoft data fluency
Prerequisites
- Basic cloud or data concepts recommended
- Curiosity about Microsoft Azure data services
Expected Learning Outcomes
- Navigate major Microsoft cloud data platforms
- Compare Fabric, Databricks, and related services
- Design practical cloud analytics workflows
- Support enterprise platform adoption conversations
FAQ
Frequently Asked Questions
Will this cover both Fabric and Databricks?
Yes. The path explores both platforms and how they fit modern cloud analytics architectures.
Is Azure experience required?
Prior Azure experience helps, but motivated learners with data fundamentals can grow into the material.
How do I get notified at launch?
Join the waiting list on this page to be notified when enrollment opens.
Waiting List
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