YoVDO

Embed Power BI analytics

Offered By: Microsoft via Microsoft Learn

Tags

Microsoft Power BI Courses Application Development Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
  • Module 1: Learn how developers can programmatically embed analytics in their apps, and about no-code embedding options for simpler requirements.

    In this module, you will:

    • Plan for Power BI embedded analytics.
    • Determine the Power BI content types that you can embed.
    • Adopt a development methodology to embed Power BI content.
    • Prepare Power BI content for embedding.
    • Use no-code embedding techniques.
  • Module 2: Learn how to select a Power BI embedded analytics product.

    In this module, you will:

    • Select the appropriate embedding scenario.
    • Select the appropriate Power BI embedded analytics product.
    • Manage resource and scale requirements.
    • Set up a development environment.
  • Module 3: Learn which settings and permissions to use for internal and external users of your app with embedded Power BI content.

    In this module, you will:

    • Plan the authentication flow required to embed Power BI content.
    • Select an embedding identity (when embedding using the For your customers scenario).
    • Create a Microsoft Azure Active Directory app registration.
    • Acquire access tokens to embed Power BI content.
  • Module 4: Learn about embedding Power BI content.

    In this module, you learn to:

    • Programmatically embed all types of Power BI content.
    • Optimize the embedding experience.
  • Module 5: Learn how to use Power BI client APIs to develop solutions that respond to subscribable events and interact with Power BI content.

    In this module, you'll:

    • Work with Power BI client APIs.
    • Develop programmatic interactions with Power BI content.
    • Develop solutions that respond to subscribable events.
    • Create dynamic report layouts.
  • Module 6: Learn how to enforce data permissions for Power BI embedded analytics.

    In this module, you'll learn how to:

    • Restrict access to Power BI dataset data.
    • Set up RLS in Power BI datasets.
    • Determine the different types of Power BI datasets.
    • Set up effective identity when generating an embed token.
    • Apply good development practices to enforce data permissions.
  • Module 7: Learn how to automate Power BI solution management.

    In this module, you'll learn how to:

    • Automate Power BI solution management.
    • Use the different automation libraries.
    • Automate workspace separation.

Syllabus

  • Module 1: Module 1: Introduction to Power BI embedded analytics
    • Introduction
    • Adopt a development methodology to embed Power BI content
    • Prepare Power BI content for embedding
    • Use no-code embedding techniques
    • Embed Power BI content
    • Check your knowledge
    • Summary
  • Module 2: Module 2: Select a Power BI embedded analytics product
    • Introduction
    • Select the appropriate Power BI embedded analytics product
    • Manage resources and scale requirements
    • Set up a development environment
    • Check your knowledge
    • Summary
  • Module 3: Module 3: Set up permissions to embed Power BI content
    • Introduction
    • Create an Azure AD app registration
    • Acquire access tokens
    • Check your knowledge
    • Summary
  • Module 4: Module 4: Embed Power BI content
    • Introduction
    • Embed Power BI reports
    • Embed other Power BI content types
    • Optimize the embedding experience
    • Check your knowledge
    • Summary
  • Module 5: Module 5: Integrate content with Power BI client APIs
    • Introduction
    • Go from insights to quick action
    • Personalize top insights
    • Customize report theme
    • Capture report views
    • Create personalized visuals
    • Check your knowledge
    • Summary
  • Module 6: Module 6: Enforce data permissions for Power BI embedded analytics
    • Introduction
    • Set up row-level security
    • Determine the type of Power BI dataset
    • Set effective identity
    • Apply good development practices
    • Check your knowledge
    • Summary
  • Module 7: Module 7: Automate Power BI solution management
    • Introduction
    • Automate workspace separation
    • Check your knowledge
    • Summary

Tags

Related Courses

Software Engineering for SaaS
University of California, Berkeley via Coursera MongoDB for Developers
MongoDB University Android: introducción a la programación
Universitat Politècnica de València via UPV [X] Extending SAP Products with SAP HANA Cloud Platform
SAP Learning Two Speed IT: How Companies Can Surf the Digital Wave, a BCG Perspective
École Centrale Paris via Coursera