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Episode 43 - Real Time Analytics in Fabric with Thrushna Matharasi
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Manage episode 517324062 series 3551436
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
章
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)
44 つのエピソード
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on December 01, 2025 21:03 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 517324062 series 3551436
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
章
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)
44 つのエピソード
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