Power BI Dataflows
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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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Power BI Dataflows
- 1. www.DataPlatformGeeks.com | www.SQLServerGeeks.com @TheDataGeeks | @SQLServerGeeks | [email protected] 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 [email protected] @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
- 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
- 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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