Monday
Tuesday

Monday, 07/10/2019

	Dijlezaal	Alcazar	Scala	Auditorium	Herten Aas
08:00	Plenary Hall 08:00 — 60 min Welcome & Registration
09:00	09:00 – 17:00 Azure SQL Database 2.0 - the new stuff! Stijn Wynants Pieter Vanhove Steve Verschaeve 300 - Experienced SQL Azure SQL DB Managed Instances	09:00 – 17:00 Azure Data Factory Deep Dive Cathrine Wilhelmsen 200 - Intermediate SSIS Azure Data Factory ETL Data Engineering	09:00 – 17:00 Using AKS and Azure DevOps to bring DevOps to your Database Hamish Watson Rob Sewell 200 - Intermediate DevOps DataOps CI/CD Kubernetes	09:00 – 17:00 Power BI - From Beginning to End Adam Saxton Patrick LeBlanc 200 - Intermediate Power BI Data Analysis Data Visualisation DAX	09:00 – 17:00 Azure Databricks: Engineering Vs Data Science Terry McCann Simon Whiteley 200 - Intermediate Azure Databricks Data Science Data Engineering

Tuesday, 08/10/2019

	Dijlezaal	Alcazar	Scala	Auditorium	Herten Aas	Begijnenzolder
08:00	Plenary Hall 08:00 — 45 min Welcome & Registration
08:45	Auditorium 08:45 — 45 min Amplifying human ingenuity with intelligent technology Didier Ongena 200 - Intermediate AI
09:30	Plenary Hall 09:30 — 15 min Room Switch
09:45	09:45 — 60 min Lesser known sql server functionalities, hidden gems or false hope? Randi Vertongen 200 - Intermediate SQL T-SQL	09:45 — 60 min The Big SQL Server 2019 Big Data Cluster Show Ben Weissman Enrico van de Laar 300 - Experienced SQL Big Data Spark	09:45 — 60 min Creating Visual Data Transformations in Azure Data Factory Cathrine Wilhelmsen 200 - Intermediate Cloud Big Data Azure Data Factory ETL Data Engineering	09:45 — 60 min Paginated Reports in Power BI Adam Saxton Patrick LeBlanc 300 - Experienced	09:45 — 60 min DevOps for Artificial Intelligence, the road to production. Henk Boelman 200 - Intermediate DevOps Azure Machine Learning	09:45 — 60 min Query Folding in Power BI Nicky van Vroenhoven 200 - Intermediate Power BI Performance Tuning
10:45	Plenary Hall 10:45 — 15 min Room Switch
11:00	11:00 — 60 min Benchmarking in the cloud Gianluca Sartori 300 - Experienced SQL Cloud Performance Tuning Extended Events Azure SQL DB Managed Instances	11:00 — 60 min Identity Mapping and De-Duplicating Dejan Sarka 500 - Guru	11:00 — 60 min Customer story: End-to-end Microsoft BI solution in Azure Just Thorning Blindbæk 200 - Intermediate Azure SQL Data Warehouse Azure Data Factory Azure Analysis Services Azure Data Lake	11:00 — 60 min Power BI Performance in 6 demos Adam Saxton Patrick LeBlanc 300 - Experienced Power BI Data Visualisation Performance Tuning Power Query DAX Data Modelling	11:00 — 60 min Using Artificial Intelligence to drive Supply Chain Planning Bart Van Der Vurst Charles Cuigniez 100 - Introductory and Overview SQL Power BI R Cloud Data Architecture DevOps AI Big Data Azure Data Factory	11:00 — 60 min Commonalities and differences between BI and Datascience pipelines Luc Rogge 100 - Introductory and Overview Data Analysis ETL Data Science Data Engineering
12:00	Plenary Hall 12:00 — 60 min Lunch
13:00	13:00 — 60 min SQL Notebooks in Azure Data Studio for the DBA Rob Sewell 100 - Introductory and Overview	13:00 — 60 min Start To See With tSQLt Sander Stad 200 - Intermediate SQL Test Driven Development	13:00 — 60 min Python Pipeline Primer: Data Engineering with Azure DataBricks Simon Whiteley 200 - Intermediate	13:00 — 60 min Power BI Report design Tips and Tricks Prathy Kamasani 200 - Intermediate Power BI Data Visualisation	13:00 — 60 min Analyze images in real-time with machine learning, Azure IoT Hub and Azure Stream Analytics Steve Verschaeve 200 - Intermediate Power BI IoT Cloud Data Visualisation Cognitive Services AI Azure SQL DB Azure Functions	13:00 — 60 min How can we use Azure Data Factory and Azure Databricks to train our ML models Ivana Pejeva 200 - Intermediate Azure Databricks Azure Data Factory Azure Machine Learning Data Engineering
14:00	Plenary Hall 14:00 — 15 min Room Switch
14:15	14:15 — 60 min Database Adventure Kevin Chant 300 - Experienced SQL Data Architecture Indexing dbatools Query Store Azure SQL DB Managed Instances Best Practices Docker	14:15 — 60 min Why my query is slow and how to fix this Denis Reznik 300 - Experienced	14:15 — 60 min Automate your Data Warehouse Development Kristof Van de Loock 200 - Intermediate	14:15 — 60 min Monitoring Power BI Ásgeir Gunnarsson 300 - Experienced Power BI	14:15 — 60 min AI in Production Terry McCann 300 - Experienced	14:15 — 60 min Introduction to Azure Cosmos DB (demo-based) Pieter-Jan Caals 100 - Introductory and Overview
15:15	Plenary Hall 15:15 — 15 min Room Switch
15:30	15:30 — 60 min Azure SQL Database - Lessons learned from the trenches Stijn Wynants 300 - Experienced	15:30 — 60 min SQL Server surprises Nico Jacobs 300 - Experienced SQL Indexing T-SQL	15:30 — 60 min The modern Cloud Data Warehouse - Snowflake on Azure Koen Verbeeck 200 - Intermediate SQL Cloud Data Architecture Big Data	15:30 — 60 min Microsoft Power BI Premium: Building enterprise-grade models Kasper de Jonge 200 - Intermediate	15:30 — 60 min Using AI to write conference session submissions Terry McCann 400 - Advanced/Expert	15:30 — 60 min Your database's journey to the cloud Brecht Vuylsteke 200 - Intermediate
16:30	Plenary Hall 16:30 — 15 min Room Switch
16:45	16:45 — 60 min How to deploy SQL Server containers on Kubernetes in Azure Hamish Watson 200 - Intermediate Cloud DevOps Azure Container Registry Kubernetes	16:45 — 60 min Azure Key Vault, Azure Dev Ops and Data Factory how do these Azure Services work perfectly together! Erwin de Kreuk 300 - Experienced DevOps Azure Data Factory CI/CD	16:45 — 60 min The Battle Of Modern Data Architectures: Data Factory vs Databricks Dave Ruijter 300 - Experienced SQL SSIS Data Architecture Azure Databricks Azure Data Factory Spark T-SQL Data Engineering	16:45 — 60 min 3 ways to bring Power BI under Source Control Craig Porteous 200 - Intermediate Power BI Powershell Flow	16:45 — 60 min Crash Course on building and accelerating Deep Learning Solutions Ali Doku 300 - Experienced	16:45 — 60 min Shape Maps in Power BI Philippe Van Rillaer 100 - Introductory and Overview Power BI Data Visualisation
17:45	Plenary Hall 17:45 — 45 min Closing Drink

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