Data exploration has been proclaimed as a new scientific paradigm. With rapid growth in the volume and variety of scientific data, scientists often have to overcome challenges in handling and integrating large data sets before the scientific questions can be addressed. There is also rapid growth in the volume and variety of data management solutions to choose from.
This course provides an overview of different ways to model data, different database management systems, and emerging technologies that support integration, exploration and sharing of scientific data.
Basic knowledge of relational databases and the SQL query language is assumed. Even though these are not central to the present course, relational database management systems provide a point of reference for discussing non-relational data models and systems. There will be an opportunity to gain this basic knowledge during the preparatory week.
Preparatory week activities
26-30 26-29 October 2015.
Starting after lunch on Monday, and
ending before lunch on Friday
Department of Computer Science and Engineering (Data- och informationsteknik), EDIT Building, Johanneberg Campus, Chalmers Technology University (campus map)
For more information and timetable please consult http://www.cse.chalmers.se/~kemp/graduate_courses/sdm2015/
SeSE: Swedish e-Science Education