While Hadoop and its innumerable satellite projects make for a confusing market, there's more healthy unity there than may be obvious Hadoop remains the poster child for big data, yet other big ...

Data analytics, long the obscure pursuit of analysts and quants toiling in the depths of enterprises, has emerged as the must-have strategy of organizations across the globe. Competitive edge not only ...

Hadoop has become a central tool for Big Data applications. RainStor has added SQL access, better compression and the ability to reduce the number of systems in a Hadoop cluster to improve ...

Facebook’s business analysts push the business in a variety of ways.They rely heavily on Hive, which enables them to use Hadoop with standard business intelligence tools, as well as Facebook’s ...

For Hadoop, these approaches are not new. EMC has offered its own support of HDFS emulation for its Isilon scale-out file storage for several years. The difference with 3.0 is that the goals of ...

Hadoop (then called Nutch) was created in 2004 by Doug Cutting and Mike Cafarella as a Java-based implementation of the Google File system and MapReduce compute framework. The product came about to ...

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.

Hadoop’s ecosystem includes a variety of tools and frameworks that enhance its capabilities, making it a comprehensive platform for data processing. Apache Hive : Hive provides a SQL-like ...

Anyone who uses Hadoop on a regular basis knows that reliability of complex jobs is a mystery. The odds of a Hadoop job running according to plan every time are not 90 percent, or even 80 percent ...

A few weeks ago, two giants of the big data Hadoop era, Cloudera and Hortonworks, announced they would be merging. The announcement claimed it would be a “merger of equals.” It is fascinating ...