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Starts 14 June 2025 15:16

Ends 14 June 2025

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Manage workspaces and semantic models in Power BI

Discover how to effectively manage workspaces and semantic models using Microsoft Power BI in this comprehensive course by Microsoft Learn. Gain essential skills in data management and protection. Module 1: Learn to share reports and datasets, develop a deployment strategy, and explore data lineage. Key topics include distributing reports, mo.
via Microsoft Learn

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Overview

Discover how to effectively manage workspaces and semantic models using Microsoft Power BI in this comprehensive course by Microsoft Learn. Gain essential skills in data management and protection.

  • Module 1:

    Learn to share reports and datasets, develop a deployment strategy, and explore data lineage.

    Key topics include distributing reports, monitoring performance, and configuring data protection.

    • Distribute a report or dashboard.
    • Monitor usage and performance.
    • Recommend a development life cycle strategy.
    • Troubleshoot data by viewing its lineage.
    • Configure data protection.
  • Module 2:

    Build multiple reports from a single dataset with Power BI, allowing updates through dataset changes. Simplify data cleaning and preparation for efficient reporting.

    • Create dynamic reports with parameters.
    • Create what-if parameters.
    • Use a Power BI gateway to connect to on-premises data sources.
    • Configure a scheduled refresh for a dataset.
    • Configure incremental refresh settings.
    • Manage and promote datasets.
    • Troubleshoot service connectivity.
    • Boost performance with query caching (Premium).
  • Module 3:

    Implement row-level security (RLS) for targeted data access.

    Learn to use both static and dynamic methods for securing data and simplifying RLS testing.

    • Configure row-level security using a static method.
    • Configure row-level security using a dynamic method.

Join other data management professionals in advancing your expertise with this targeted training.


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united states