Best practices for deploying and scaling Power BI Embedded Analytics | OD28

Quickly embed interactive reports and visualization into your application. With the serverless architecture, you can automatically scale embedded analytics capabilities form a few to hundreds of thousands of users without the need to build, set up and manage your own analytics information.

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00:00 Introduction
00:15 Alon Baram, Principal Product Manager, Microsoft
01:02 What is Power BI Embedded Analytics?
01:45 Embed Power BI for your organization or customers
03:30 Best practices to deploy and manage multitenancy with Power BI Embedded
03:35 What is multi tenancy?
04:02 Two main approaches to deploy and scale Power BI Embedded Analytics
04:27 These are the steps the app owner needs to create development environment.
04:52 Go to production – Row level security based separation
05:25 Go to production – Workspace based separation
06:01 Content Management; User flow in a multitendency environment
07:12 Here are some multi tenant application design options using workspace separation.
07:32 Single Service Principal
08:03 Service Principal Pooling
08:27 One Service Principal per Customer
08:50 One Service Principal Profile per Customer (Newest and most recommended option)
09:07 What is a Service Principal Profile?
10:10 Service Principal Profiles Power BI Security Model
10:33 A solutions comparison shows how Service Principal Profiles combines the best of the first three options
10:48 Creation and management of service principal profiles
10:56 How to enable a new PBI Tenant Feature Switch
11:37 The Profiles API to Create and Manage Service Principal Profiles
12:04 How do you create a new customer tenant using a Service Principal Profile?
13:01 Demonstration of how to manage a multiTenant environment for Power BI Embedded Analytics using Service Principal Profiles
18:18 Resources for Power BI Embedded Analytics
18:52 Stack Overflow is the best way to get updates and help.

Microsoft Build 2022