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, ...

Abstract: Summary form of only given: Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss design philosophy of ...

Abstract: Summary form of only given: Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss design philosophy of ...

Most of the time, Map-Reduce job is created using a driver class that contains static main method. But such method is not suitable for changing specific configuration on the fly. i.e. changing number ...

These are Java and Python example codes used to show HOWTO of programming models in Warehouse-Scale Computing in the tutorial of my blog. There're five examples below and the main purpose is to get ...

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.

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