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Conferences / SQLSaturday

SQLSaturday Prague #889

Sep 21, 2019 · City Convention Center, Prague, Czechia

Conference
SQLSaturday Database
Dates
Sep 21, 2019
Venue
City Convention Center
Place
Prague, Czechia
Format
In person
Status
Past
Attendance
—
Website
sqlsaturday.com
Recorded
8 sponsors · 23 speaker appearances
Notes
Official name: SQLSaturday #889 - Prague 2019. Run under PASS. Sessions, speakers and sponsors from the sqlsaturday.com archive page (built from PASS's historical XML; no speaker bios, so affiliations are null); 23 sessions. Below the 40-session bar (23 sessions); included because Prague was named as one of the big European SQLSaturdays.

Ticket prices

No ticket prices recorded

Sponsors 8

Speakers and talks 23

SpeakerCompanyRoleTalkLinks
Alexander Klein——Build your next BI solution in Azure—
Angela Henry——Profiling Your Data—
Cédric Charlier——Data scientists have left ... How will I deploy their work?—
Christina Leo——Analytics on Azure: What to Use When—
Damian Widera——Transaction Isolation Levels - that could be funny—
Dejan Sarka——Comparing Predictive Models from R, Python, SSAS, and Azure ML—
Dmitry Pilugin——Intelligent Query Processing in SQL Server 2019—
Dr. Subramani Paramasivam——Azure Machine Learning with Power BI—
Ivan Donev——Designing your tabular/PowerBI model for performance and scalability—
Janusz Rokicki——Anomaly Detection in Predictive Maintenance for Sql Server—
Jiří Neoral——Power BI Row Level Security Deep Dive—
Karel Rejthar——Maps in Power BI—
Luis Beltran——Clever data: Building a chatbot from your database—
Marcos Freccia——My 10 favorite PowerShell commands—
Matija Lah——SQL Server 2014+ Memory-optimized Data Exchange—
Michal Chmelár——Power BI as a universal analytic tool—
Neil Hambly——Performance Troubleshooting Using DMVs—
Nicky van Vroenhoven——Power BI (Premium) Implementation at a Financial Institute—
Oleg Ulyanov——Successfully Virtualizing SQL Server on VMware vSphere: Straight from the Source—
Pinal Dave——Practical Real-World Performance Tuning for Accidental DBAs—
Tasty Lunch——.—
Tomas Tucek——CI, CD, CDE and DevOps Explained—
Tomaž Kaštrun——Common Data Science Mistakes—

Sources