Advent of 2023, Day 19 – Event streaming with Fabric
This article is originally published at https://tomaztsql.wordpress.com
In this Microsoft Fabric series:
- Dec 01: What is Microsoft Fabric?
- Dec 02: Getting started with Microsoft Fabric
- Dec 03: What is lakehouse in Fabric?
- Dec 04: Delta lake and delta tables in Microsoft Fabric
- Dec 05: Getting data into lakehouse
- Dec 06: SQL Analytics endpoint
- Dec 07: SQL commands in SQL Analytics endpoint
- Dec 08: Using Lakehouse REST API
- Dec 09: Building custom environments
- Dec 10: Creating Job Spark definition
- Dec 11: Starting data science with Microsoft Fabric
- Dec 12: Creating data science experiments with Microsoft Fabric
- Dec 13: Creating ML Model with Microsoft Fabric
- Dec 14: Data warehouse with Microsoft Fabric
- Dec 15: Building warehouse with Microsoft Fabric
- Dec 16: Creating data pipelines for Fabric data warehouse
- Dec 17: Exploring Power BI in Microsoft Fabric
- Dec 18: Exploring Power BI in Microsoft Fabric
In Fabric, you can create streaming semantic model and when selecting you will get the usual sources:
Differences are explained here:
Once we create a PubNub API and use the following key and channel name
- Sub-key: sub-c-99084bc5-1844-4e1c-82ca-a01b18166ca8
- Channel name: pubnub-sensor-network
we will get a semantic model that can be used in Dashboard or in Power BI. The model with its logo.
Once you have the PubNub API being consumed into the model, we can create a dashboard and add graph. Watch it in real-time to see the data being populated.
Tomorrow we will look into notebooks!
Complete set of code, documents, notebooks, and all of the materials will be available at the Github repository: https://github.com/tomaztk/Microsoft-Fabric
Happy Advent of 2023! 
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This article is originally published at https://tomaztsql.wordpress.com
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