|Start Time (24h)||Speaker||Track||Title|
|09:00:00||Marek Chmel||Enterprise Database Administration Deployment||SQL Server 2016 Security Enhancements|
|09:00:00||LEONEL ABREU||BI Information Delivery||Reporting Services 2016, a reborn product|
|10:15:00||Miloš Radivojević||Application Database Development||What Application Developers Should Know About SQL Server?|
|10:15:00||Peter Myers||BI Platform Architecture, Development Administration||Azure Machine Learning: From Design to Integration|
|12:45:00||Zoltán Horváth||BI Platform Architecture, Development Administration||Top 10 SSAS Solution Design Best Practices|
|12:45:00||Volodymyr Usarskyy||Application Database Development||To NHibernate or not to NHibernate|
|14:00:00||Andrzej Kukula||BI Platform Architecture, Development Administration||Easy ETL with Biml|
|14:00:00||Sam Lester||BI Information Delivery||Power BI – “5 Minutes to WOW”, but HOW?|
|15:15:00||Marcin Szeliga||Advanced Analysis Techniques||Revolutionary R integration in SQL Server 2016|
|16:30:00||Filip Vitek||Advanced Analysis Techniques||Using offline shopping data to boost e-shop sales|
|16:30:00||Sam Lester||BI Information Delivery||Power BI Desktop – Leveraging the magic of Power BI - ON-PREM|
Event Date: 04-06-2016 - Session time: 09:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 04-06-2016 - Session time: 09:00:00 - Track: BI Information Delivery
Event Date: 04-06-2016 - Session time: 10:15:00 - Track: Application Database Development
I spent last ten years working with application developers and have collected common mistakes and misunderstandings between them and DBAs that increase development, test and deployment costs and reduce the overall quality. In this session we will cover the most important things they need to know about SQL Server and that cannot be easily or cheap fixed by DBAs or consultants.
Event Date: 04-06-2016 - Session time: 10:15:00 - Track: BI Platform Architecture, Development Administration
In this session, you will learn how an Azure Machine Learning solution comes to life: From the creation of a workspace, to the preparation of data, to experimentation with Machine Learning algorithms, and then finally to the integration and embedding of predictive insights into applications.
This session has been specifically designed to describe Machine Learning fundamentals, and to help enable and inspire existing data professionals taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning. It is guaranteed to thrill you with potential, and excite you with the relative ease by which it can be accomplished.
Event Date: 04-06-2016 - Session time: 12:45:00 - Track: BI Platform Architecture, Development Administration
I've collected a number of best practices during the years I've spent on building and maintaining OLAP cubes. In this session, we will go through the most important ten of these, so you can consider them in your everyday work when you build analytical back-end solutions with SSAS. Join this session, and see how these tips and best practices can save your precious time.
Event Date: 04-06-2016 - Session time: 12:45:00 - Track: Application Database Development
In this session I will try to explain why would one consider NHibernate as an option for his application stack, how to solve typical DBA complaints and give a brief comparison of how fast is NHibernate versus ADO.NET with stored procedures.
This session will be interesting to application developers who never worked with NHibernate but want to start, as well as for DBAs to gather some knowledge about how an application works including database layer. I will also provide some demos to show why NHibernate is not as good as developers might think, and why it is better than DBAs think about this tool.
Event Date: 04-06-2016 - Session time: 14:00:00 - Track: BI Platform Architecture, Development Administration
Event Date: 04-06-2016 - Session time: 14:00:00 - Track: BI Information Delivery
Event Date: 04-06-2016 - Session time: 15:15:00 - Track: Advanced Analysis Techniques
• R can greatly simplify collection of different data.
• Data manipulation and preparation can also be way easier with R.
• You can use R to quickly explore and visualize data.
• Last but not least, R brings the whole power of modern data mining techniques to SQL Server.
As if this was not enough, you can use familiar user interface and SQL Server Enterprise R Services to work with large datasets and multi-threaded, multi-core, multi-process computations. So, even if you don’t know R at all, come and see how natural this language is for everybody who already think in rows and columns.
Event Date: 04-06-2016 - Session time: 16:30:00 - Track: Advanced Analysis Techniques
Event Date: 04-06-2016 - Session time: 16:30:00 - Track: BI Information Delivery