Schedule

Friday, 13/09/2019

	Level 1 Auditorium	Auditorium A	Conf Room 1	Conf Room 6	Conf Room 7
08:30	Main Foyer 08:30 — 30 min Doors Open
09:00	Main Foyer 09:00 — 30 min Keynote / Introduction
09:30	09:30 — 60 min Crazy Data Science Enrico van de Laar 200 Data Science	09:30 — 60 min Improving Your Presentation Skills - Practical Examples by Two Very Different Speakers Cathrine Wilhelmsen Alexander Arvidsson 100 Professional Development	09:30 — 60 min Applying DevOps practices to Machine Learning Jan Mulkens 300 DevOps AI & Machine Learning	09:30 — 60 min What's this Machine Learning all about? Alex Whittles 100 AI & Machine Learning Data Science	09:30 — 60 min DAX Gotchas Chris Woolderink 300 Business Intelligence
10:30	Main Foyer 10:30 — 15 min Break
10:45	10:45 — 60 min Complex Azure Orchestration with Dynamic Data Factory Pipelines Paul Andrew 300 Microsoft Data Platform Azure Data Platform Business Intelligence Automation	10:45 — 60 min Benchmarking in the cloud Gianluca Sartori 300 Administration Database Cloud	10:45 — 60 min Supercharge your Reporting Services: An essential toolkit Craig Porteous 200 Business Intelligence PowerShell Administration	10:45 — 60 min Multi-server agent jobs administration with happy faces and pigeons Mikey Bronowski 200 Microsoft Data Platform Automation Administration Database Management	10:45 — 60 min AI Capabilities for Power BI to make AI Accessible for Everyone Marc Lelijveld 200 Business Intelligence AI & Machine Learning
11:45	Main Foyer 11:45 — 15 min Break
12:00	12:00 — 60 min Arguing with myself - self-service BI from an infrastructure perspective Alexander Arvidsson 200 Business Intelligence Administration	12:00 — 60 min It's broken, now what?! (Practical problem solving) William Durkin 200 Professional Development	12:00 — 60 min Don't cross the streams! A closer look at Stream Analytics Johan Ludvig Brattås 300 Azure Data Platform Big Data Development	12:00 — 60 min "Kubernetify" your Containers Chris Taylor 200 Microsoft Data Platform Azure Data Platform PowerShell	12:00 — 60 min Guillotines, Sat-Nav and the Query Optimiser David Alcock 300 Administration Development Database
13:00	Main Foyer 13:00 — 45 min Lunch
13:15		13:15 — 25 min Lunch & Learn by F1F9
13:45	13:45 — 60 min Exploring the SQL Tiger Team Toolbox Mark Pryce-Maher 300 Administration Database	13:45 — 60 min Pipelines and Packages: Introduction to Azure Data Factory Cathrine Wilhelmsen 200 Data Warehousing Development Cloud	13:45 — 60 min Microsoft Flow Automation using Power BI API Ida Bergum 100 Business Intelligence Automation	13:45 — 60 min Feel Validated with dbachecks Shane O' Neill 200 Microsoft Data Platform PowerShell Automation Administration Database Management	13:45 — 60 min Striking the right balance while staying relevant Sarah Lean 100 Professional Development
14:45	Main Foyer 14:45 — 15 min Break
15:00	15:00 — 60 min Containers vs Clones: Database provisioning made simple Alex Yates Andrew Pruski 300 Microsoft Data Platform PowerShell DevOps Automation Development Database	15:00 — 60 min ETL with Azure Databricks, The Complete Introduction André kamman 300 Data Warehousing Cloud	15:00 — 60 min You can run SQL Server on AWS? John Mccormack 100 Administration Database	15:00 — 60 min Shape Maps in Power BI Steve Flynn 200 Business Intelligence	15:00 — 60 min The Productive Data Professional martin croft 200 Business Intelligence PowerShell Administration Database
16:00	Main Foyer 16:00 — 15 min Break
16:15	16:15 — 60 min SQL Notebooks in Azure Data Studio for the DBA Rob Sewell 200 DevOps Database	16:15 — 60 min Advancing Databricks - Taking your ETL to the Next Level Simon Whiteley 200 Data Warehousing AI & Machine Learning Data Science Big Data Cloud	16:15 — 60 min Azure Data Factory V2; The Data Flows Thomas Sykes 200 Automation Database Cloud	16:15 — 60 min Using Source Control To Open Up A World Of Community and Collaboration Paul Broadwith 100 DevOps Automation Administration Development Professional Development	16:15 — 60 min When is data science the answer? Adam Sroka 100 AI & Machine Learning Data Science
17:15	Main Foyer 17:15 — 15 min Prize Draws / Closing
18:30	Main Foyer 18:30 – 23:00 After Party

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