LEARN
Learn what you need to build better.
Practical insights, research and guidance for architects and engineers working with data, AI and modern cloud platforms.
SEVEN WAYS TO LEARN
What do you want to learn?
Every section answers a different question. Pick the one that matches where you are right now.
Research
10 reportsEvidence, analysis and findings that help you understand what is really happening in data and AI. Use it when you want the wider context or need to test an assumption.
Use Cases
Real-world scenarios, business problems, technical scenarios and practical applications.
Use it when you want to know where a technology actually creates value.
Explore Use CasesArchitecture Discussions
Architecture decisions, trade-offs, patterns and alternative approaches.
Use it when you have to decide how a solution should be designed.
Explore Architecture DiscussionsKnown Limitations
Product limitations, constraints, known behaviour, workarounds and architectural impact.
Use it when you want to know what a technology cannot do.
Explore Known LimitationsBest Practices
Practical guidance for secure, scalable, reliable and maintainable solutions.
Use it when you are ready to design a solution properly.
Explore Best PracticesHow To's
Step-by-step implementation, configuration, troubleshooting, deployment and operations guidance.
Use it when you actually want to build, configure or implement.
Explore How To'sWhat's New
Releases, previews, deprecations and breaking changes, each with a verdict on what it means for your design.
Use it when you want to know what changed since you last looked.
Explore What's NewHOW TO USE LEARN
Not sure where to start?
Follow the path below when you want to go from understanding a topic to building it in practice, and then keeping up with what changes.
- 01UnderstandResearch
- 02ExploreUse Cases
- 03DecideArchitecture
- 04ValidateLimitations
- 05DesignBest Practices
- 06BuildHow To's
- 07Stay currentWhat's New
Recommended doesn't mean required. Already know what you need? Jump directly to the section that helps you.
Worth exploring now
- ResearchAI adoption across organization sizes and industriesAlmost everyone uses AI, few organizations run it at scale. What separates using from scaling, broken down by SMB, mid-market, and enterprise, and by industry.14 August 2026
- Use CasesHealthcare: alert triage by agents with Microsoft Security CopilotA large hospital network lets agents in Microsoft Security Copilot handle first-line triage, freeing up nearly 200 hours a month for the investigation work people do have to do. 5 min read8 August 2026
- Architecture DiscussionsWhy Doesn't a View Work in a Direct Lake Model?A Fabric user builds a semantic model on a lakehouse and gets stuck: views fall back, Power Query is missing and the capacity complains. The community calls it too rigid. The documentation shows it's a design choice, and that part of the criticism is now outdated.19 September 2026
- How To'sHow to build an agentic application with Fabric and FoundryFrom governed data in Microsoft Fabric to an agent in Microsoft Foundry that answers questions about it, with the decision that shapes the architecture at every step. 9 min read28 August 2026
Microsoft Fabric
Azure Databricks
Microsoft Foundry
Microsoft 365 Copilot
Microsoft Purview
Microsoft Defender for Cloud
Microsoft Sentinel
Data & AI Cost ManagementYour journey starts with knowledge.
Understand the evidence, see how it is used, decide how to design it, and then build it.