Microsoft Data Science meetup

Details

Special Microsoft Data Science meetup in Meppel!
Limited seats available: register in time!

Program

18:00 - 18:30 Snacks, drinks & networking
18:30- 19:10 Open source data analytics on Azure - Ahmed Mostafa (Microsoft)

19:10 - 19:50 Data science on Azure - Peter ter Braake (TrainSQL)
19:50 - 21:00 More drinks & networking

Abstracts and bio's can be found below. Talks are in English.

Data science on Azure - Peter ter Braake

abstract

Data science is hot. And Microsoft is completely in the game. All the effort that Microsoft puts into their cloud strategy and the accompanying possibilities for Big Data, together with Microsoft’s embrace of open source, brings lots of opportunities for Data Scientists.In this session we will take a look at Cortana Intelligence Suite. We will discuss Big Data stores like Azure Data Lake Store and SQL DW, as well as the processing capabilities of Azure Data Lake Analytics, Hadoop en Azure Machine Learning. Also we will take a look at R integration is various products of Microsoft. And last but not least we will have a short look at the Microsoft Data Science Virtual Machine in Azure.Altogether more than enough to talk about and to start building solutions with it.

bio

Peter ter Braake specializes in data on the Microsoft Data Platform. That started with just SQL Server but lately evolved into much more with all the new cloud driven data technologies. Next to his SQL Server certifications he also earned the Microsoft Professional Degree for Data Science and he is Microsoft MVP since 2012. He uses his knowledge and experience teaching other professionals and in consulting with customers.

Open source data analytics on Azure - Ahmed Mostafa

abstract & bio

Ahmed Mostafa is a data solution architect with Microsoft. He works with large enterprises and builds solutions using analytics technology. He will talk about how to run the Hadoop ecosystem (Spark, Notebooks, Storm, etc) on Azure and how Microsoft’s first party software integrates with those ecosystems and with open source technologies such as R.