| Start Time (24h) | Speaker | Track | Title |
|---|---|---|---|
| 10:45:00 | David Postlethwaite | Administration (Enterprise Database Deployment) | SQL 2016 New features [EN] |
| 10:45:00 | Suha Güngören | BI (Architecture, Development, Administration, Analytics, Vizualization) | Data Science Track in the Microsoft Professional (Degree) Program [EN] |
| 10:45:00 | Tobias Koprowski | Administration (Enterprise Database Deployment) | SQL Security in the Cloud [EN] |
| 10:45:00 | Florian Mader | Development (Application Database) | SQL Server on Linux [DE] |
| 10:45:00 | Thomas Martens | BI (Architecture, Development, Administration, Analytics, Vizualization) | R 101 - What is this R thing, and is it worth some effort? [DE] |
| 10:45:00 | Markus Ehrenmueller-Jensen | Lightning Talks | Lightning Talks (Ehrenmüller, Zunzer, Brückl, Monchen Strasser) |
| 10:45:00 | Oliver Lintner | Cloud Application Development Deployment | Introduction into Microsoft Azure [DE] |
| 12:00:00 | Gabi Münster | Lightning Talks | Women in Technology – Ein Thema in Österreich? [DE] |
| 13:00:00 | Gianluca Sartori | Administration (Enterprise Database Deployment) | New Security Features in SQL Server 2016 |
| 13:00:00 | Cédric Charlier | BI (Architecture, Development, Administration, Analytics, Vizualization) | Automating the testing of your BI solutions with NBi [EN] |
| 13:00:00 | Mario Meir-Huber | Cloud Application Development Deployment | Doing Hadoop with Azure HDInsight [DE] |
| 13:00:00 | LEONEL ABREU | Development (Application Database) | A time travel with temporal tables [EN] |
| 13:00:00 | André Melancia | Cloud Application Development Deployment | If a machine can learn, why can't YOU learn Azure Machine Learning? [EN] |
| 13:00:00 | Emma Page | BI (Architecture, Development, Administration, Analytics, Vizualization) | Maximierung Ihres Investments in Microsoft mit Pyramid Analytics [DE] |
| 14:15:00 | Ben Weissman | BI (Architecture, Development, Administration, Analytics, Vizualization) | SSIS für Faulpelze – Einführung in Biml [DE] |
| 14:15:00 | Mihail Mateev | Cloud Application Development Deployment | Business Intelligence for Modern IoT Solutions in Microsoft Azure [EN] |
| 14:15:00 | Kevin Feasel | Development (Application Database) | Peanut Butter Chocolate: Integrating Hadoop with SQL Server [EN] |
| 14:15:00 | Raoul Holzer | Cloud Application Development Deployment | Azure 101 for DB Administrators [DE] |
| 14:15:00 | Oliver Frost | Development (Application Database) | Exploring Dark Data with SQL Server 2016 and R [EN] |
| 14:15:00 | Chrissy LeMaire | Administration (Enterprise Database Deployment) | Modern Database Administration using PowerShell and dbatools [EN] |
| 15:30:00 | Gianluca Sartori | Development (Application Database) | SQL Server Infernals: Worst Practices in Action [EN] |
| 15:30:00 | Tomaž Kaštrun | Administration (Enterprise Database Deployment) | SQL Server 2016 R Integration for database administrators [EN] |
| 15:30:00 | Gabi Münster | BI (Architecture, Development, Administration, Analytics, Vizualization) | Multi-client SSAS deployment : What's MDS got to do with? [DE] |
| 15:30:00 | Frank Geisler | BI (Architecture, Development, Administration, Analytics, Vizualization) | Microsoft Business Intelligence für alle mobilen Plattformen [DE] |
| 15:30:00 | Dejan Dular | Development (Application Database) | In the name of the resources: Aggregating data [EN] |
| 15:30:00 | Andreas Wolter | Administration (Enterprise Database Deployment) | Extended Events – The Top Features for efficient Traces [DE] |
| 16:45:00 | Janos Berke | Administration (Enterprise Database Deployment) | What is new in SQL Server 2016 Availability Group [EN] |
| 16:45:00 | Oliver Engels | BI (Architecture, Development, Administration, Analytics, Vizualization) | Apply the Power of Azure Data Lake Analytics to Your BI Landscape [DE] |
| 16:45:00 | Mario Schnalzenberger | Cloud Application Development Deployment | IoT in the wild [DE] |
| 16:45:00 | Alexander Klein | Cloud Application Development Deployment | Recommendations in Azure ML and Cognitive Services [DE] |
| 16:45:00 | Sergiy Lunyakin | BI (Architecture, Development, Administration, Analytics, Vizualization) | Azure SQL Data Warehouse: What, Where, How [EN] |
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: Administration (Enterprise Database Deployment)
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
When you apply for a job in data science, employers want to know if you can analyze and visualize data with Excel or Power BI and whether you can use R or Python to explore the data. They also want to know that you understand key topics, like statistics and machine learning.
Use the latest tools to solve real-world data problems It takes more than knowledge to be effective as a data scientist—technical skills and real-world experience with data are critical. The courses in the Microsoft Professional Program include hands-on labs so you can practice with tools used by data scientists in the field today.
We show you in that session, how you can benefit from this Microsoft Professional Degree Program - Data Science, how we enrich the Microsoft content with additional services and what you can expect from this best-of-breed solution
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: Administration (Enterprise Database Deployment)
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: Development (Application Database)
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: Lightning Talks
Heino Zunzer: Testing your database with tSQLt Gerhard Brückl: Polybase – Big Data meets SQL Server Erik Monchen: SQL Server Reporting Services - What's new Wolfgang Strasser: Power BI und ihre On-Premises Daten
Event Date: 20-01-2017 - Session time: 10:45:00 - Track: Cloud Application Development Deployment
Event Date: 20-01-2017 - Session time: 12:00:00 - Track: Lightning Talks
In einer offenen Gesprächsrunde möchten wir euch Zahlen und Fakten zu dem Thema sowie eigene Erfahrungsberichte präsentieren. Viel mehr sind wir aber an euren Erfahrungen und Meinungen interessiert? Musstet ihr Hindernisse in euren Berufsweg überwinden? Wünscht ihr euch Frauen im Team? Seid ihr auf der Suche nach Angestellten und würdet euch über weibliche Mitarbeiter freuen? Jeder ist hier gefragt und willkommen.
Genauso wichtig ist für uns, wie ihr die Rolle der PASS in diesem Kontext seht. Können wir etwas tun? Sollten wir auch? Was würdet ihr euch von uns wünschen?
Wir freuen uns auf eine rege Beteiligung. :-)
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: Administration (Enterprise Database Deployment)
Always Encrypted is a new technology that protects your data not only at rest, but also throughout the whole interaction between the application and the database. Dynamic Data Masking is another interesting feature that allows us to protect sensitive data by masking it to all users that don’t have enough privileges to see the actual contents. Row Level Security allows showing to end users only the data they’re entitled to access, without changing the applications’ code. We will demonstrate the use of these three features with example applications and we will explore the use cases where these technologies represent a big leap from previous custom implementations.
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: Cloud Application Development Deployment
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: Development (Application Database)
In this session will be shown the most useful scenarios:
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: Cloud Application Development Deployment
AzureML isn't just for "data scientists"... Anyone can use it! And after this session you'll be using it too... Disclaimer: Sadly, AzureML still can't predict what's on your girlfriend's mind. Nothing ever will.
Event Date: 20-01-2017 - Session time: 13:00:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
Zahlreichen branchenführenden Unternehmen ist es bereits gelungen, ihre Geschäftsabläufe von „datenblind“ auf „datengestützt“ umzustellen. Der Business Intelligence-Markt wächst zweistellig. Erfahren Sie in diesem Vortrag, wie Sie mit BI Office Ihr Investment in Microsoft optimieren können und zu einem datengestützten Unternehmen werden. Sehen Sie, wie dies mit Microsofts Power BI zusammenspielt und hören Sie dazu hilfreiche Praxisbeispiele.
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: Cloud Application Development Deployment
This talk is about the main types of BI, used in IoT systems. Presentation is also about the most used Azure components, related to BI. You will see several real-life examples for BI in IoT solutions in different areas: smart energy systems, charging stations for electric cars and logistic systems.
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: Development (Application Database)
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: Cloud Application Development Deployment
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: Development (Application Database)
In this session, Consolidata’s Oliver Frost shows you how to develop your own application for tapping into ‘dark data’. Ollie will demonstrate how to stream live tweets, perform aggregations in R and pipe the output to a Power BI dashboard, giving you a full end-to-end experience of the importance of learning some basic R code in 2016.
This session is for anyone who is new to R and is interesting expanding their skill set beyond their comfort zone in SQL Server.
Event Date: 20-01-2017 - Session time: 14:15:00 - Track: Administration (Enterprise Database Deployment)
Join for me for this electric, demo-heavy session to learn how to greatly simplify your life as a DBA.
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: Development (Application Database)
Have you ever thought that in dire times avoiding Worst Practices could be a good starting point and you can leave fine tuning for a better future? If the answer is “yes”, then this session is for you: we will discover together how not to torture a SQL Server instance and we will see how to avoid making choices that in the long run could turn out to be not as smart as they looked initially.
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: Administration (Enterprise Database Deployment)
R is a powerful language and environment for statistical computing, data mining, predictive analytics and visualizations.
This session will explore possibilities on how R integration can work for DBA. And how it can help them with their daily tasks. Extending the possibilities of statistical analysis and predictions beyond customer related world into administrative world.
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
In this session we are looking into one possible approach: Build a large solution containing all client views. Maintain the client-specific master data in MDS 2016. The client specific deployment is designed to use AMO based on a client specific configuration.
But how about the Tabular mode? Let's find out together if we can apply a similar approach by using TOM, the AMO extension for tabular model in SQL Server 2016.
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: Development (Application Database)
Event Date: 20-01-2017 - Session time: 15:30:00 - Track: Administration (Enterprise Database Deployment)
Event Date: 20-01-2017 - Session time: 16:45:00 - Track: Administration (Enterprise Database Deployment)
Event Date: 20-01-2017 - Session time: 16:45:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
In this session you will learn how to integrate relational databases (SQL Azure DB, Azure DWH, or SQL Server) by federation with ADLA, how to trigger jobs from on-prem systems like SSIS, and how to orchestrate the service via Azure Data Factory. Through live demos you will see that this service gives you great computing power for your BI landscape and integration is not that difficult.
Event Date: 20-01-2017 - Session time: 16:45:00 - Track: Cloud Application Development Deployment
You will see an active solution with all parts working in a ready-made demo up to the dashboards in Power BI. So get ready for an interesting practical view on IoT in the "wild".
Event Date: 20-01-2017 - Session time: 16:45:00 - Track: Cloud Application Development Deployment
Die Cognitive Services werden immer mächtiger und einfach anzusprechen.
Mit dem Fokus auf Vorschläge (Kunden die dieses Produkt kauften, kauften auch ...) vergleiche ich Azure ML und Cognitive Servies Recommendations. Das Ergebnis ist bei beiden das gleiche, ein Vorschlag welcher Artikel auch interessant sein könnte. Nur das wie ist für den Developer deutlich anders.
Event Date: 20-01-2017 - Session time: 16:45:00 - Track: BI (Architecture, Development, Administration, Analytics, Vizualization)
In this session I'm going to answer on these questions. Also, I will prodive information where is better to use Azure SQL DWH and what is more important, how to use it.