Results 1 - 2 of 2

Intel

by A. Elmore, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, J. Kepner, T. Kraska, S. Madden, D. Maier, T. Mattson, S. Papadopoulis, J. Parkhurst, N. Tatbul, M. Vartek, S. Zdonik
"... This paper presents BigDAWG, a reference implementation of a new architecture for “Big Data ” applications. Such applications not only call for large-scale analytics, but also for real-time stream-ing support, smaller analytics at interactive speeds, data visualiza-tion, and cross-storage-system que ..."
Abstract - Add to MetaCart
This paper presents BigDAWG, a reference implementation of a new architecture for “Big Data ” applications. Such applications not only call for large-scale analytics, but also for real-time stream-ing support, smaller analytics at interactive speeds, data visualiza-tion, and cross-storage-system

Northwestern

by A. Elmore, J. Duggan, M. Stonebraker, M. Balazinska, U. Cetintemel, V. Gadepally, J. Heer, B. Howe, J. Kepner, T. Kraska, S. Madden, D. Maier, T. Mattson, J. Parkhurst, N. Tatbul, M. Vartak, S. Zdonik
"... This paper presents BigDAWG, a reference implementation of a new architecture for “Big Data ” applications. Such applications not only call for large-scale analytics, but also for real-time stream-ing support, smaller analytics at interactive speeds, data visualiza-tion, and cross-storage-system que ..."
Abstract - Add to MetaCart
This paper presents BigDAWG, a reference implementation of a new architecture for “Big Data ” applications. Such applications not only call for large-scale analytics, but also for real-time stream-ing support, smaller analytics at interactive speeds, data visualiza-tion, and cross-storage-system
Results 1 - 2 of 2