Administration Business Intelligence Dev-Ops Azure Information Management Big Data
TRACK 1 TRACK 2 TRACK 3 TRACK 4 TRACK 5 TRACK 6
09:00 - 10:00PerformanceTuning 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 - 11:15Think 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 - 12:30Partitioning 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 - 14:30Kubernetes 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 - 15:45It‘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 - 17:00Chaosbewältigung - 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
