Share
The award-winning WIRED UK Podcast with James Temperton and the rest of the team. Listen every week for the an informed and entertaining rundown of latest technology, science, business and culture news. New episodes every Friday.
…
continue reading
Manage episode 517324062 series 3551436
Content provided by Nicholas Chang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicholas Chang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
We explore how real-time analytics in Microsoft Fabric turns raw events into decisions within seconds while keeping the strength of batch for complete, trusted reporting. From OneLake layering to agentic AI, we share practical patterns, pitfalls, and skills to get started fast.
• OneLake bronze, silver, gold layering for reliability
• Event Hubs to OneLake pipeline setup
• real-time dashboards, monitoring and alerting
• hybrid architecture for BI and operational analytics
• data quality rules, schema checks and replay
• skills to start with Fabric using SQL
• common streaming pitfalls and latency issues
• roadmap to agentic AI that lets users talk to data
• personal journey, community work and speaking plans
Chapters
1. Episode 43 - Real Time Analytics in Fabric with Thrushna Matharasi (00:00:00)
2. Welcome And Guest Introduction (00:00:06)
3. Career Background In Data (00:00:31)
4. Batch Analytics Explained (00:02:03)
5. What Real Time Changes (00:02:48)
6. Tools And Lakehouse Layers (00:03:26)
7. A Day In Real-Time Operations (00:04:14)
8. Batch Versus Real Time Revisited (00:05:29)
9. Fabric OneLake And Layering (00:06:29)
10. Real-Time Dashboards And Use Cases (00:07:18)
11. Hybrid Architectures And BI (00:08:39)
12. Event Hub To OneLake Pipeline (00:08:59)
13. AI And Agentic Querying Plans (00:09:40)
14. Data Refinement Best Practices (00:11:11)
15. Skills To Start With Fabric (00:13:16)
16. Streaming Setup Pitfalls (00:14:14)
17. Why Data Engineering Feels Rewarding (00:15:06)
18. Hobbies And Personal Interests (00:16:58)
19. Community And Speaking (00:17:40)
20. Closing And Key Takeaways (00:19:17)
43 episodes
))
