Zobraziť v EDS

Dynamic distributed dimensional data model (D4M) database and computation system.

Uložené v:
Podrobná bibliografia
Názov: Dynamic distributed dimensional data model (D4M) database and computation system.
Autori: Kepner, Jeremy, Arcand, William, Bergeron, William, Bliss, Nadya, Bond, Robert, Byun, Chansup, Condon, Gary, Gregson, Kenneth, Hubbell, Matthew, Kurz, Jonathan, McCabe, Andrew, Michaleas, Peter, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Yee, Charles
Zdroj: 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 1/ 1/2012, p5349-5352, 4p
Abstrakt: A crucial element of large web companies is their ability to collect and analyze massive amounts of data. Tuple store databases are a key enabling technology employed by many of these companies (e.g., Google Big Table and Amazon Dynamo). Tuple stores are highly scalable and run on commodity clusters, but lack interfaces to support efficient development of mathematically based analytics. D4M (Dynamic Distributed Dimensional Data Model) has been developed to provide a mathematically rich interface to tuple stores (and structured query language “SQL” databases). D4M allows linear algebra to be readily applied to databases. Using D4M, it is possible to create composable analytics with significantly less effort than using traditional approaches. This work describes the D4M technology and its application and performance. [ABSTRACT FROM PUBLISHER]
Copyright of 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP) is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáza: Complementary Index
Popis
Abstrakt:A crucial element of large web companies is their ability to collect and analyze massive amounts of data. Tuple store databases are a key enabling technology employed by many of these companies (e.g., Google Big Table and Amazon Dynamo). Tuple stores are highly scalable and run on commodity clusters, but lack interfaces to support efficient development of mathematically based analytics. D4M (Dynamic Distributed Dimensional Data Model) has been developed to provide a mathematically rich interface to tuple stores (and structured query language “SQL” databases). D4M allows linear algebra to be readily applied to databases. Using D4M, it is possible to create composable analytics with significantly less effort than using traditional approaches. This work describes the D4M technology and its application and performance. [ABSTRACT FROM PUBLISHER]
ISBN:9781467300452
DOI:10.1109/ICASSP.2012.6289129