Lack of performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...

About MapReduce MapReduce is a programming model specifically implemented for processing large data sets. The model was developed by Jeffrey Dean and Sanjay Ghemawat at Google (see “ MapReduce ...

The core components of Apache Hadoop are the Hadoop Distributed File System (HDFS) and the MapReduce programming model.

Release 15.4 of the analytic database will feature support for the MapReduce and Hadoop programming frameworks for large-scale data processing Sybase is hoping its IQ analytic database can make ...

Cloud and grid software provider Platform Computing has announced support for the Apache Hadoop MapReduce programming model.

Amazon launches Hadoop data-crunching service Customers can use MapReduce to pay by the sip as they do things like index the Web, mine data, and conduct financial analysis or bioinformatics research.

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

But there are downsides. The MapReduce programming model that accesses and analyses data in HDFS can be difficult to learn and is designed for batch processing.

Lack of performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...