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Adam Saxton. Sr. Content Developer working on Business Intelligence products 10 years supporting SQL Connectivity and BI Products Avid blogger and YouTuber.

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Presentation on theme: "Adam Saxton. Sr. Content Developer working on Business Intelligence products 10 years supporting SQL Connectivity and BI Products Avid blogger and YouTuber."— Presentation transcript:

1 Adam Saxton

2 Sr. Content Developer working on Business Intelligence products 10 years supporting SQL Connectivity and BI Products Avid blogger and YouTuber

3 Starting with Power BI Desktop

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7 File location and freshness

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10 Refresh & Gateways

11 Import (cached mode)DirectQuery or Live connection Refresh frequency Scheduled - hourly or dailyReal-time PerformanceNo noticeable delay since data is already cached Depends on how fast the data source is as queries are executed in real-time Data storage in Power BI Since it is cached mode, data is stored in the cloud No data is stored in Power BI. Data is always on-premises* Data sizeCurrent limit of 250MB (compressed) per model The on-premises database is the limit; no Power BI limitation Row level security No support for on-prem row level security. Supports Cloud RLS. Re-use on-prem role based row level security for Analysis Services. Non-SSAS supports Cloud RLS. *Some data is cached for optimizing first-time load performance

12 Self-service refresh – no IT dependency Easy & simple to use: Lightweight one-click installer running on your computer One Personal Gateway per user Runs either as a service or an app

13 Centralized way to refresh on-premises content in Power BI Access control to data sources Monitor and track usage Live, interactive query with on-premises data sources

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15 DB

16 Troubleshooting

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19 asaxton@microsoft.com

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