MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.
When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...
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 ...
When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...
In the vast universe of IT, data is categorized as being either structured or unstructured, from a macro perspective. Generation of unstructured data is orders of magnitude higher than that generated ...
Urs Holzle, the senior vice president of technical infrastructure and Google Fellow at Google and Google's eighth employee, announced Google is not using MapReduce anymore. But don't you worry, this ...
Facebook has shared some more behind-the-scenes information about just how the social network is built, this time centered around the enormous amount of data that it collects. Over half a petabyte of ...
The formula turns an infinite sum into a more manageable calculation of single terms A researcher has calculated the 2,000,000,000,000,000th digit of the mathematical constant pi - and a few digits ...
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