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