When building applications using Hadoop, it is common to have input data from various sources coming in various formats. In his presentation, “New Tools for Building Applications on Apache ...

Like it or not, if you are planning on using a data warehouse in conjunction with Hadoop, you are in the data logistics business. It is wise to take a close look at how you plan on implementing a ...

Hadoop, on the other hand, functions in a share-nothing architecture, meaning that data is stored on individual nodes using local disk. Hadoop moves work to the data and leverages inexpensive and ...

DataTorrent made its primary product, DataTorrent RTS, generally available today. The product is built on top of Hadoop 2.0 and allows companies to process massive amounts of big data in real time.

Spark includes its own machine learning libraries, called MLib, whereas Hadoop systems must be interfaced with a third-party machine learning library, for example Apache Mahout.