Computing challenges of Big-Data

In many scientific fields, such as biology or environmental sciences, the rapid evolution of scientific instruments and the intensive use of computer simulation have led to a significant production of data. Scientific applications are faced with new problems, mainly linked to the storage and exploitation of this data. This course will explore the major issues raised by the emergence of these data flows (storage, interrogation, analysis and visualization), and will look at some of the technological solutions currently in use. The ethical and legal issues raised by the collection and use of this data will also be examined.

• Big Data: an introduction to ethical, societal, scientific and economic issues
• The problem of large databases (NoSql, NewSql)
• Big Data and business model: the case of intermediation
• Open Data: open public data
• Big-Data Analytics: the basics of analyzing large volumes of data
• Data representation and visualization
• Three BEs on GIS, on Apache/Hadoop and on the web of data (SparQL).