Topic 5 Parallel and Distributed Databases

@incollection{citeulike:1658252, abstract = {Advances in data exploitation (access, query, retrieval, analysis, mining) are inherent to current and future information systems. Today, accessing great volumes of information is reality; tomorrow data intensive management systems will enable huge user communities to transparently access multiple pre-existing autonomous, distributed and heterogeneous resources (data, documents, services). Existing data management solutions do not provide efficient techniques for exploiting and mining tera-datasets available in clusters, peer to peer and grid architectures. Parallel and distributed databases are a key element for achieving scalable, efficient systems that will both cost-effectively manage and extract knowledge from huge amounts of highly distributed and heterogeneous digital data repositories.}, author = {Pati\~{n}o-Martinez, Marta and Vargas-Solar, Genoveva and Baralis, Elena and Kemme, Bettina }, citeulike-article-id = {1658252}, doi = {http://dx.doi.org/10.1007/978-3-540-74466-5\_32}, journal = {Euro-Par 2007 Parallel Processing}, keywords = {database, distributed}, pages = {293}, posted-at = {2007-10-10 02:00:38}, priority = {2}, title = {Topic 5 Parallel and Distributed Databases}, url = {http://dx.doi.org/10.1007/978-3-540-74466-5\_32}, year = {2007} }

TY - CHAP ID - citeulike:1658252 L3 - citeulike-article-id:1658252 N2 - Advances in data exploitation (access, query, retrieval, analysis, mining) are inherent to current and future information systems. Today, accessing great volumes of information is reality; tomorrow data intensive management systems will enable huge user communities to transparently access multiple pre-existing autonomous, distributed and heterogeneous resources (data, documents, services). Existing data management solutions do not provide efficient techniques for exploiting and mining tera-datasets available in clusters, peer to peer and grid architectures. Parallel and distributed databases are a key element for achieving scalable, efficient systems that will both cost-effectively manage and extract knowledge from huge amounts of highly distributed and heterogeneous digital data repositories. JF - Euro-Par 2007 Parallel Processing EP - 293 TI - Topic 5 Parallel and Distributed Databases SP - 293 KW - database KW - distributed AU - Patiño-Martinez, Marta AU - Vargas-Solar, Genoveva AU - Baralis, Elena AU - Kemme, Bettina PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-74466-5_32 ER -