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Seminar: Increasing Speedup and Confidentiality in Data Warehousing


Dr. Jorge Bernardino (Instituto Superior de Engenharia de Coimbra)

Monday, June 16, 2014, 10:30AM, EV3.309

Abstract

Data warehouses integrate massive amount of data from multiple sources, which is primarily used for decision support purposes. These large data volumes bring significant challenges to database engines, requiring high level of query speedup. Data warehouses must have efficient Online Analytical Processing (OLAP) tools to process complex analytical queries satisfying the information needs of business managers and helping them to make faster and more effective decisions. Typical warehouse queries are very complex and ad hoc in nature and generally access huge volumes of data and perform many joins and aggregations.Improving query speedup in such environments is very difficult and can only be achieved by a combination of different approaches, in particular the use of materialized views, advanced indexes and parallel query processing. However, achieving quick response time with complex OLAP queries is still an open issue. In this presentation we proposed a technique to solve this problem, called DWS-Data Warehouse Stripping. We analyse the scalability performance of data warehouse striping system (DWS) system using different environments. By other hand, we may state that DWs are the core of sensitive business data and store the secrets of the business itself. Data confidentiality focuses on protecting data from unauthorized disclosure. Consequently, securing DWs against data damage and information leakage is a critical goal.

We propose a Specific Encryption Solution tailored for Data Warehouses (SES-DW) consisting on a lightweight encryption cipher for numerical values, which uses only mixes of standard SQL operators such as eXclusive OR (XOR) and modulus (MOD), together with additions and subtractions, that aims at balancing the tradeoff between data security and database performance. Experimental evaluation demonstrates the proposed techniques outperform standard and state-ofthe- art research while providing substantial security strength.

Bio

Jorge Bernardino received the PhD degree in computer science from the University of Coimbra in 2002. He is a Coordinator Professor at ISEC (Instituto Superior de Engenharia de Coimbra) of the Polytechnic of Coimbra, Portugal. His main research fields are big data, data warehousing, business intelligence, open source tools, and software engineering, subjects in which he has authored or co-authored dozens of papers in refereed conferences and journals. Jorge Bernardino has served on program committees of many conferences and acted as referee for many international conferences and journals. He was President of ISEC from 2005–2010. Currently, he is serving as General Chair of IDEAS’2014 conference and visiting professor at Carnegie Mellon University (CMU).




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