Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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 ...
Pervasive Software is unveiling on Wednesday version 5.0 of its DataRush parallel application software, which now works with the popular Hadoop MapReduce framework for processing large volumes of data ...
What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...
One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are ...
LinkedIn on Thursday will announce a new open source project that aims to provide native support for running TensorFlow jobs on Hadoop. TensorFlow is the Google-built open-source machine learning ...
Pervasive Software is unveiling on Wednesday version 5.0 of its DataRush parallel application software, which now works with the popular Hadoop MapReduce framework for processing large volumes of data ...