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Mastering Microsoft Power BI – Second Edition - Second Edition

You're reading from  Mastering Microsoft Power BI – Second Edition - Second Edition

Product type Book
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Pages 712 pages
Edition 2nd Edition
Languages
Authors (2):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Brett Powell Brett Powell
Profile icon Brett Powell
View More author details

Table of Contents (18) Chapters

Preface 1. Planning Power BI Projects 2. Preparing Data Sources 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

Live connections to Power BI datasets

An optional but very important report planning and design decision is whether or not to develop the data model and report visuals within the same Power BI Desktop file or to separate the report from the dataset into separate files. As a general recommendation, if there’s any possibility that additional reports will be needed in the future based on the same dataset, the dataset and report should be separated into separate files and likely separate workspaces as well.

With Live connections to Power BI datasets, report authors can develop reports in Power BI Desktop files containing only the visualization layer (report pages of visuals) while leveraging a single, “golden” dataset. Increasingly organizations will isolate these source datasets, which are typically maintained by an IT or BI department, into Power BI workspaces that only the IT or BI organization has edit rights to. Report authors and users of these source datasets...

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