アスター・データ・システム社はこのほど、同社のnClusterデータベースの構成要素であるAster In-Database MapReduceを発表した。

A recent article on the Database Column by David J. DeWitt and Michael Stonebraker attempts to compare the increasingly popular MapReduce programming paradigm to a relational database. The ...

A team of researchers plans to release on Tuesday a paper showing that parallel SQL databases perform up to 6.5 times faster than Google's MapReduce data-crunching technology.

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 ...

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

Greenplum and Aster Data Systems will support Google's programming technique, developed for parallel processing of large data sets across commodity hardware ...

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

Technology Stack Data Collection: Python, PRAW (Reddit API) Big Data Processing: Hadoop, HDFS, MapReduce Database: PostgreSQL, SQLAlchemy Sentiment Analysis: TextBlob, VADER, NLTK Visualization: ...

Two database vendors have integrated Google's MapReduce parallel processing framework.

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 ...