Administration Business Intelligence Dev-Ops Azure Information Management Big Data TRACK 1 TRACK 2 TRACK 3 TRACK 4 TRACK 5 TRACK 6 09:00 - 10:00 Performance Tuning with Opti- mistic Concurrency :: Torsten Strauss SQL Server 2019 aus den Augen eines Entwicklers [300] :: Thorsten Kansy Chaos Engineering for SQL Server [300] :: Andrew Pruski Neues in Azure Machine Learning [300] :: Marcel Franke Self-Service AI mit Power BI Desktop [200] :: Markus Ehrenmüller-Jensen Beyond IoT Real- time Data Ingestion with Azure Stream Analytics [200] :: Paul Andrew Break // Changing Rooms 10:15 - 11:15 Think PowerShell and SQL is meh? Meet dbatools! [200] :: Rob Sewell Protecting Data with Data Masking in SQL Server and SQL DB [300] :: Karen Lopez Edge me if you can: IoT, AI und SQL [300] :: Constantin „Kostja“ Klein Scrum (Agile Vorgehens- weisen) und Business Intelligence Projekte? Geht das? [100] :: Philipp Lenz :: Marianne Behrendt Managing Memory for Optimal Performance [300] :: Lord Richard Douglas Azure Projekte Real Life - ein Talk aus dem Nähkästchen [200] :: Patrick Heyde Break // Changing Rooms 11:30 - 12:30 Partitioning for Beginners [300] :: Uwe Ricken 2 Fast 2 Furious - designing for speed, concurrency, and correctness [300] :: Mark Broadbent A modern web backend based on SQL Server [300] :: Benjamin Kettner Big Time - A Glance at Azure Time Series Insights [200] :: Sandra Geisler Analyze petabytes of data using T-SQL and serverless Synapse Analytics service [300] :: Jovan Popovic ADF Wrangling Data Flows [300] :: Christoph Seck Lunch Break // Exhibition 13:30 - 14:30 Kubernetes für DBAs [100] Performance Tun- ing Without Chan- ging Code [300] Azure Cognitive Services voll auf Docker [300] Power BI Aggregations [300] :: Gabi Münster & SQL auf Docker für Anfänger [100] AGENDA DAY 2 Thursday, 05.03.2020 Retailer Insights mit Azure Synapse :: Oliver Engels & :: Björn Peters :: Thomas LaRock :: Alexander Klein :: Tom Martens :: Frank Geisler Break // Changing Rooms 14:45 - 15:45 It‘s broken, now what?! (Practical problem solving) [200] :: William Durkin Das neue „SQL Azure Data Management Operations Studio“ [100] :: Robert Panther DevOps in der Datenbank- Anwendung- sentwicklung [200] :: Markus Schröder DevOps für Machine Learning- Projekte :: Veronika Zellner :: Sascha Dittmann Break // Changing Rooms 16:00 - 17:00 Chaosbewältigung - SQL Server Migration und Konsolidierung [300] :: Bodo Michael Danitz SQL Server auf Docker in Produktiv- umgebungen [200] :: Frank Geisler :: Benjamin Kettner How to get the most from Azure SQL Database [300] :: Vitor Pombeiro [200] :: Artus Krohn- Grimberghe Implementing Supertypes and Subtypes in SQL Server [300] :: Matija Lah 17:00 Defeat the mono- lith, an introduc- tion to Kafka and Azure Eventgrid [300] :: André Kamman PaaSport to Paradise: Lifting & Shifting with Azure SQL Database + SSIS in Azure Data Factory [400] :: Sandy Winarko AI Demystified :: Sascha Dittmann Analytics [300] :: Marcel Tilly