Welcome to the Microsoft Fabric end-to-end workshop!
In this workshop, we'll start by rapidly generating real-time data using Fabric Real-time Intelligence (RTI) and understanding how that data can be processed and visualized in Microsoft Fabric. With the initial reporting in place, multiple modules are available that explore data warehousing, data lakehouse architecture, data activator, data science, and of course, real-time intelligence leveraging KQL. The modules are designed to be cohesive but flexible -- they all involve the same core scenario, but have limited dependencies so you can consume the modules that make the most sense for you.
The basic architecture of our solution is illustrated below. The app deployed in the beginning of this workshop (either as a docker container or running in Jupyter notebook) will publish events to our Fabric environment. The data is ingested into a KQL database for real-time reporting in Power BI.
In this workshop, participants will get hands-on with a fictitious financial company "AbboCost." AbboCost would like to set up a stock monitoring platform to monitor price fluctuations and report on historical data. Throughout the workshop, we'll look at how every aspect of Microsoft Fabric can be incorporated as part of a larger solution -- by having everything in an integrated solution, we'll be able to quickly and securely integrate data, build reports, create data warehouses and lakehouses, forecast using ML models, and more.
Core Modules for real-time analytics:
Additional modules for end-to-end solution:
Continued Learning & Additional Modules
Extras: Additional Content and Continued Learning
Names for the stocks and scenario were inspired by the iconic skit "Who's on First?" by Abbott and Costello. View this skit here: Who's on First by Abbott and Costello (6:35)