Spotting Big Data trends, without MapReduce As Trendspottr shows us, sometimes hardcore algorithms, even older ones, provide new breakthroughs. Written by Andrew Brust, Contributor June 4, 2012 at ...

Some closing thoughts about Big Data, ... This year, Hadoop 2.0 and its YARN component put MapReduce in its place: as just one algorithm among many that Hadoop will accommodate.

Peter Sirota, General Manager of Amazon’s Elastic MapReduce service, spoke at length at the AWS Gov Summit 2011 about the benefits of Hadoop and MapReduce and the company’s own Elastic Map Reduce ...

When Hadoop first started gaining attention and early adoption it was inseparable – both technologically and rhetorically – from MapReduce, its then-venerable big data-processing algorithm ...

In this paper, the authors have implemented an efficient MapReduce Apriori algorithm (MRApriori) ... big data analytics, artificial intelligence, data security, and more.

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.

Spark running on Hadoop sorted 100 TB of data in 23 minutes, three times faster than the previous record held by Yahoo using MapReduce on Hadoop. The result, Databricks says, are due to targeted ...

We cover some of the most popular big data tools for Java developers. ... The batch nature of MapReduce can hinder real-time data processing. ... Numerous algorithms for data processing: ...