Big Data Management

Professors:Domenico Lembo
Credits:2.5
Range:b
Note:

Full description

In one sentence, Big Data is data that exceeds the processing capacity of conventional database systems. In particular, Big Data applications deal with huge amounts of data, possibly collected from a huge number of data sources (volume), with highly heterogeneous format (variety), at a very high rate (velocity). This scenario calls for new technologies to be developed, ranging from new data storage mechanisms to new computing frameworks. In this course we will look at several key technologies used in manipulating, storing, and analyzing big data. In particular, we will study architectures for data intensive distributed applications, Data Warehouse solutions, NoSQL storage solutions, including RDF and graph databases.

 

Period: The course is scheduled from September 29 to December 19, 2014, generally with one 2 hour lesson per week (to be confirmed), for a total of 12