Get an overview of Dataflows and how it integrates data lake and ETL technology directly into Power BI to enable anyone with Power Query skills. Before diving into details we will go through the architecture and demonstrate the bigger picture for Dataflows in Power BI. We will go through how you can create, customize and manage data within the Power BI experience in a simpler way. Part of this will also be to go through Common Data Models which contains the business entities across your organisation. This will help your organisation simplifying modeling and is intended to prevent multiple definition for the same data.

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Dataflows in Power BI
Bent Nissen Froning
Data Platform Architect, Chief Architect

2. Bent Froning
Who am I?
Chief Architect, Datheos
Data Platform MVP
How to get in contact
Bent@nissenmail.dk
@thesqlviking

3. Session Objectives & Agenda
• Getting started
• The common data model
• Linked and referenced entities
• Where does dataflows fit in?

4. So what are we actually talking about…
Integration Services Azure Data Factory Power BI

5. Demo
Dataflows

6. Getting Started

7. Power BI Models
Data Sources Datasets Data Model Reporting

8. Power BI Models in the service
Data Sources Datasets Data Model Reporting Dashboards

9. Power BI Models in the service
Data Sources Datasets Data Model Reporting Dashboards
WorkspaceAWorkspaceB

10. Dataflows
Data flows in Power BI
Data Sources Datasets Data Model Reporting Dashboards
WorkspaceAWorkspaceB

11. What is actually going on ?
Data Source Dataflow Data model
Dataset

12. Demo
dataflows next steps

13. Common Data Model

14. Common Data Model

15. Common Data Model
https://github.com/microsoft/CDM

16. Common Data Services

17. Entities

18. Linked & calculated entities
Data Source Dataflow
Workspace 1
Dataflow
Workspace 1

19. Power BI Models in the service
Data Sources Datasets Data Model Reporting Dashboards
WorkspaceAWorkspaceB

20. Dataflows
Data flows in Power BI
Data Sources Datasets Data Model Reporting Dashboards
WorkspaceAWorkspaceB

21. Demo
Linked and calculated entities

22. Power BI & Azure
ADF Databricks Databricks Databricks
Dataflows
Data models
Reporting
Dashboards
Power BI

23. Dataflows licensing
Dataflow capability Power BI Pro Power BI Premium
Scheduled refresh 8 per day 48
Total Storage 10 GB/user 100 TB/node
Dataflow Authoring with Power Query Online x x
Dataflow Management within Power BI x x
Dataflows Data Connector in the Power BI Desktop x x
Integration with Azure x x
Computed Entities (in-storage transformations via M) x
New connectors x x
Dataflow incremental refresh x
Running on Power BI Premium capacity / Parallel execution of transforms x
Dataflow linked entities x
Standardized Schema / Built-In Support for the Common Data Model x x

24. Where does it fit ?

25. Modern BI challenges
• Fragmented & incomplete data
• Long delivery time
• Self-service is difficult to structure and govern
• Specialists are needed
• Complex tools requires knowledge for Enterprise solutions
• Business data has no structure or semantic consistency
• Complex system integrations

26. Power BI data preparation
• Low/no code setup
• Fully integrated in Power BI
• Connections to cloud and on-premises
• Standard schema
• Reuse of data In-lake transformations

27. Summary

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30. Vijay Mishra
(Regional Mentor)
Sakharam Shinde
(Regional Mentor)
Vijay Reddy
(Regional Mentor)
Debdutta Nath
(Regional Mentor)

31. Have Questions?

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