Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
09:00:00 | Goran Milanov | Information Delivery | Welcome note - Room 1 |
09:00:00 | Vladimir Markovic | Information Delivery | Welcome note - Room 2 |
09:00:00 | Dejan Pervulov | Information Delivery | Welcome note - Room 3 |
09:15:00 | Zoltán Horváth | BI Platform Architecture, Development Administration | SSAS Query Performance Tuning |
09:15:00 | Janos Berke | Enterprise Database Administration Deployment | What is new in SQL Server 2016 Availability Group [EN] |
09:15:00 | Veljko Vasic | Cloud Application Development Deployment | Achieve great performance with Azure SQL Database using built-in intelligence |
10:30:00 | Christopher Adkin | Enterprise Database Administration Deployment | Problem Solving With The In-Memory Engine |
10:30:00 | Maja Damjanic | Analytics and Visualization | Big data solutions on Microsoft Azure |
11:45:00 | Dejan Sarka | BI Platform Architecture, Development Administration | High-Performance Statistical Queries |
11:45:00 | Catalin Gheorghiu | Application Database Development | SQL database on IoT devices, could you? should you? would you? |
11:45:00 | Jovan Popovic | Application Database Development | SQL Server and JSON in real applications |
13:45:00 | Tomaž Kaštrun | Analytics and Visualization | Microsoft Azure Machine Learning Algorithms |
13:45:00 | Milos Todic | Application Database Development | Columnstore Index Internals |
13:45:00 | Dragoslav Ogar | Enterprise Database Administration Deployment | Row-level security |
15:00:00 | Dr. Subramani Paramasivam | Analytics and Visualization | Think work like a Data Scientist with SQL 2016 R |
15:00:00 | Miloš Radivojević | Enterprise Database Administration Deployment | Call 555 - 333 for Query Store |
15:00:00 | Mladen Andzic | Analytics and Visualization | Spatial Analytics with SQL Server 2016 and Azure SQL Database |
16:15:00 | Ivan Donev | Application Database Development | Notes from the field of a Microsoft SQL Engineer |
16:15:00 | Mihail Mateev | Cloud Application Development Deployment | Creating Custom BI Solutions with Power BI Embedded |
Event Date: 18-03-2017 - Session time: 09:00:00 - Track: Information Delivery
Event Date: 18-03-2017 - Session time: 09:00:00 - Track: Information Delivery
Event Date: 18-03-2017 - Session time: 09:00:00 - Track: Information Delivery
Event Date: 18-03-2017 - Session time: 09:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 18-03-2017 - Session time: 09:15:00 - Track: Enterprise Database Administration Deployment
Event Date: 18-03-2017 - Session time: 09:15:00 - Track: Cloud Application Development Deployment
Event Date: 18-03-2017 - Session time: 10:30:00 - Track: Enterprise Database Administration Deployment
Event Date: 18-03-2017 - Session time: 10:30:00 - Track: Analytics and Visualization
Event Date: 18-03-2017 - Session time: 11:45:00 - Track: BI Platform Architecture, Development Administration
Event Date: 18-03-2017 - Session time: 11:45:00 - Track: Application Database Development
It would be a good idea? What will be the use of it? How to make it work and make the most of it? How does all fit with the field gateway concept? During the presentation, we will take a real word scenario, real hardware, and together we will try to answer these questions
Event Date: 18-03-2017 - Session time: 11:45:00 - Track: Application Database Development
In this session, we will see how you can combine relational data and JSON, query and index JSON data, load semi-structured data from log files, create REST/OData services, and easily integrate your database with modern web apps.
Event Date: 18-03-2017 - Session time: 13:45:00 - Track: Analytics and Visualization
Focus on this session will be mathematical and graphical explanation of algorithms available for predictive analytics in Azure Machine Learning service. Algorithms - grouped by learning type - will be examined and crossed referenced through all available and ready-to-use. Understanding the the basics - data inference, data splitting, data stratification, to sweeping, to theory of algorithms: regression, decision trees, Clustering and Naive Bayes. We will clarify the confusion over algorithms, suitable data for algorithms and what type of problem can be tackled with.
Event Date: 18-03-2017 - Session time: 13:45:00 - Track: Application Database Development
Event Date: 18-03-2017 - Session time: 13:45:00 - Track: Enterprise Database Administration Deployment
Event Date: 18-03-2017 - Session time: 15:00:00 - Track: Analytics and Visualization
You now have answers to these questions and thanks to Microsoft for integrating R Revolution within new SQL Server 2016. We all now have the opportunity to use R packages and see the results within SQL 2016.
In this session, you will definitely take away a breakthrough concept of Advanced R Analytics within SQL 2016 and get ready to kick your creative horse, and go beyond your imagination on how you can build advanced analytics and impress your employers/customers.
Event Date: 18-03-2017 - Session time: 15:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 18-03-2017 - Session time: 15:00:00 - Track: Analytics and Visualization
Event Date: 18-03-2017 - Session time: 16:15:00 - Track: Application Database Development
Event Date: 18-03-2017 - Session time: 16:15:00 - Track: Cloud Application Development Deployment
Microsoft Power BI Embedded helps Independent Software Vendors to use Power BI data experiences within their applications. Customers, who use applications with Power BI Embedded don’t need to have a Power BI account or to know anything about this Azure service. This talk is a practical session on Microsoft Power BI Embedded concept with many examples how to create custom BI solutions using this technology.