讲座人：西班牙加泰路尼亚理工大学教授 Alberto Abello 
             Dept. of Service and Information System Engineering
             Universitat Politecnica de Catalunya - BarcelonaTech 

个人简介：   

Alberto Abello is tenure-track 2 professor at Universitat Politècnica de
Catalunya (Polytechnical University of Catalonia). He received his PhD
from UPC in 2002. He is also a member of the MPI research group (Grup de
recerca en Modelització i Processament de la Informació) at the same
university, specializing in software engineering, databases and
information systems. His research interests are databases, database
design, data warehousing, OLAP tools, ontologies and reasoning. He is the
author of articles and papers presented and published in national and
international conferences and journals on these subjects (e.g.,
Information Systems, Data and Knowledge Engineering (DKE), International
Journal of Data Warehousing and Mining, Knowledge and Information Systems
(KAIS), Conference on Advanced Information Systems Engineering (CAiSE),
International Conference on Database and Expert Systems Applications
(DEXA), International Conference on Data Warehousing and Knowledge
Discovery (DaWaK) and International Workshop on Data Warehousing and OLAP
(DOLAP). He has also served in the program committee of DaWaK and DOLAP,
among others. He is the local coordinator at UPC of the Erasmus Mundus
Master IT4BI and the Erasmus Mundus Doctorate IT4BI-DC 

讲座简介：

In the last years, the problems of using generic storage
techniques for very specific applications has been detected and outlined.
Thus, some alternatives to relational DBMSs (e.g. BigTable and C-Store)
are blooming. On the other hand, cloud computing is already a reality that
helps to save money by eliminating the hardware as well as software fixed
costs and just pay per use. Thus, specific software tools to exploit the
cloud have also appeared. The trend in this case is to use implementations
based on the MapReduce paradigm developed by Google. The basic goal of
this talk will be the introduction and the discussion of these ideas from
the point of view of DataWarehousing and OLAP. We will see advantages,
disadvantages and some possibilities it offers.