In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing (MPP) database engines.
A team of researchers will release on Tuesday a paper showing that parallel SQL databases perform up to 6.5 times faster than Google Inc.’s MapReduce data-crunching technology. Google bypassed ...
In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing (MPP) database engines.
Teradata Corporation has announced the launch of the Aster Data SQL-MapReduce Developer Portal, a collaborative online developer community for SQL-MapReduce analytics, an emerging framework for ...
Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...
When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...
https://www.pcworld.com/tags/Greenplum+Inc..html and Aster Data Systems, two startups involved in large-scale data analysis, announced this week that their products ...
Greenplum and Aster Data Systems, two startups involved in large-scale data analysis, announced this week that their products will support MapReduce, a programming technique originally developed by ...
Greenplum and Aster Data Systems will support Google's programming technique, developed for parallel processing of large data sets across commodity hardware Greenplum and Aster Data Systems, two ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback