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.

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.

This implementation is intended for illustration purposes only and the examples lack exception handling acceptable for production systems. Beyond showcasing an implementation of the MapReduce concept, ...

Course files (instructional materials) for various database systems related courses. Concepts: Distributed Database Management Systems and Non-Relational Data Models - Setting up MongoDB, working with ...

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 ...

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 ...

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 ...

Abstract: MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploiting parallelism among processing nodes while providing a ...

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 ...