In a recent article, I wrote about how you could create a Hadoop cluster within the Amazon Web Services (AWS) cloud. After completing that article, it occurred to me that it might be useful for to ...

The first program to write consumes log lines from our ... will proceed and how many instances of map.py and reduce.py will run. We just follow the MapReduce pattern and Hadoop does the rest.

The venerable C programming language isn't going away, as shown by Google's open sourcing of a framework to let Big Data devs run native C code in Hadoop: MapReduce for C. "MR4C is an implementation ...

The core idea is to run TensorFlow jobs as reliably and flexibly as other first-class citizens on Hadoop including MapReduce and Spark, LinkedIn said. "We wanted a flexible and sustainable way to ...

there’s no need to pipe data in and out of the Hadoop Distributed File System in order to run SQL or even MapReduce queries on it. Here’s an illustration of how it works: Rainstor claims to be ...