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It’s time to refresh your data in Power BI!
Cédric L. Charlier @Seddryck
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A big thanks to our sponsors
SQL Saturday Belgium
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Who is this guy? Main committer of NBi Contributor on some
Business Intelligence, Data & Information Architect Data Platform MVP from Belgium Main committer of NBi (BI testing solution - Open-Source) Contributor on some Open-Source projects Intrinsically agile seddryck.wordpress.com @Seddryck
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Product architecture Power BI Desktop Power BI (Services) Power BI
Mobile
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9.99$ Pricing Power BI Desktop Power BI (Services) Power BI Mobile
/month /user Power BI Desktop Power BI (Services) Power BI Mobile
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Dashboards On-Premises Reports Datasets
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Cloud Scheduled refresh On-premises Datasets Power BI (Services)
Power BI Desktop Datasets
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Remarks about Scheduled Refresh
Pay attention to the volume Full experience (no limitation) Refresh once by hour (or day with « free » version)
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Direct Query (wih cloud sources)
On-premises Cloud Query Result Power BI Desktop Power BI Desktop Power BI (Services) Datasets
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Remarks about Direct Query (with cloud sources)
Tiles are not refreshed in real-time Each 15 minutes Nothing to schedule Direct Query … with a cache Could be an issue on high velocity and low volumes All data must come from the same data source No calculated table But measures (with limitations)! Some calculated columns Really limited query editor experience
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Remarks about SSAS Live
Extremely cool, but is it really Power BI? No creation of measures, columns, … Not possible to use to the Query Editor No remodeling All data from a unique data source Enterprise gateway
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SSAS tabular & multi-dimensionnel live
On-premises Query Datasets Power BI Desktop Results
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Enterprise Gateway for direct query (or live)
On-premises Query Cloud Power BI Enterprise Connector Power BI (Services) Results Model
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Enterprise Gateway for scheduled refresh
On-premises Cloud Power BI Enterprise Connector Power BI (Services) Data Model
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Remarks about Enterprise Gateway
DirectQuery on SQL and SAP Hana Live connection to SSAS (Tabular and Multidimensional) Sheduled refresh with SQL Server, SSAS SAP Hana, Oracle, Teradata File, folder Sharepoint lists (on-premises)
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Personal Gateway (Refresh)
Cloud On-premises Data + Metadata Data Power BI (Services) Datasets
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Key points and limitations
Difference between data and metadata First « refresh » is special Personal Gateway not needed if Power Query file is “cloud” based Power Pivot behavior is similar to Power Query Power BI v2 behavior is also similar
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OneDrive Cloud On-premises OneDrive Power BI (Services) Datasets
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Why go through OneDrive?
Avoid usage of Personal Gateway Usage of flat CSV files Updates on OneDrive take less than 60 minutes to appear on Power BI.
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Push and API On-premises Cloud Power BI (Services) Datasets
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Remarks about API Real-time refreshment! Limited Power BI experience
But only for tiles! (It’s perhaps smarter) Limited Power BI experience Unique table No remodeling
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Sources Acquisition Enrichment Storage Cloud Power BI (Services) Model
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When do I need a « pro » version
More than 1Go of data Scheduled refresh each hour (and not day) Streaming via API larger than 10,000 rows/hour Live connections Gateway (Personal or Enterprise) But also Groups Office 365 ou AD Content packs for organisations
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Conclusion Many similar architectures but each with notable differences Test first … then implement
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SQL Saturday Belgium
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