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 ...

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 ...

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 simple ...

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 ...