3.12 Building Real-Time Analytics on Lakehouse: Reporting, Monitoring and Alerting

   • Microsoft Fabric For Beginners  
In this tutorial, I explain how to build a monitoring, reporting and alerting system on ever-changing Lakehouse tables.

Chapters:
00:00- Introduction
01:01- Preview
03:02- Overview of key Real-Time Analytics components
04:39- Design considerations
06:04- Architecture options
12:36- Demo 1: Building near real-time reporting
21:44- Demo 2: Building a smart alerting system based on Event Streams and Data Activator

You can download the demo artifacts here:
Notebook: 3.12 RTA/3.12 Building Real-Time Analytics on Lakehouse-Part2.ipynb
Data:
https://github.com/fazizov/youtube/bl...

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Check out this tutorial to learn more about
Spark Structured Streaming:    • 3.08 Introduction to Spark Structured...  ,    • 3.09 Spark Streaming Deep-Dive for Mi...  ,
Change Data Feed and Time Travel:    • 3.10 Delta Lake Change Data Feed and ...  
Event Streams:    • 4.02 Mastering Event Stream Transform...  
Data Activator:    • 5.02 Build Your Smart Monitoring with...  

Official Documentation:
https://learn.microsoft.com/en-us/fab...
https://learn.microsoft.com/en-us/fab...
https://docs.delta.io/2.0.0/delta-cha...
https://delta.io/blog/2023-02-01-delt...
https://spark.apache.org/docs/latest/...
https://learn.microsoft.com/en-us/fab...

Hashtags:
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