The MapReduce paradigm has emerged as a transformative framework for processing vast datasets by decomposing complex tasks into simpler map and reduce functions. This approach has been instrumental in ...

Data is the new currency of the modern world. Businesses that successfully maximize its value will have a decisive impact on their own value and on their customers’ success. As the de-facto platform ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Leann Chen explains how knowledge graphs ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google ...

Cloudera, the company behind the most widely deployed Hadoop distribution, did something surprising yesterday at Strata + Hadoop World, NYC. Instead of beckoning "old school" database and BI ...

The hallmark of the 2.0 releases of Apache Hadoop and HDP is the inclusion YARN-- an acronym for Yet Another Resource Negotiator -- which factors out the management components of Hadoop's MapReduce ...

The emergence of Hadoop as the de facto Big Data operating system has brought on a flurry of beliefs and expectations that are sometimes simply untrue. Organizations embarking on their Hadoop journey ...

At this stage of its evolution, big data has been primarily used for batch MapReduce processing – massive amounts of data are collected for data scientists and business analysts to analyze for key ...