Advent of 2023, Day 22 – Apps in 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
- Dec 19: Event streaming with Fabric
- Dec 20: Working with notebooks in Fabric
- Dec 21: Monitoring workspaces with Fabric
Apps are collections of dashboards and reports in one easy-to-find place. Go to Apps and click on “Get Apps”.
Click the Microsoft Fabric Capacity Metrics tile, click on “get it” and later click on “install it”.
The App will be added as an app to your tenant and it will feel and see like an Power BI report.
Upon the first run of the Capacity Metrics App, you will need to insert the Capacity ID (You can get the Capacity ID in the Admin portal), connect and do the authentication.
There are a lot of different Apps available. This is an example of add for Copilot:
Apps are represent a rich repository of different collection of reports and dashboards that will suit your needs.
Tomorrow we will look into Admin Portal and make a segue to OneLake.
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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