Apache Hadoop is a software framework that supports data-intensive distributed applications under a free license. It enables applications to work with thousands of nodes and petabytes of data.

The Apache Hadoop community considered the problem, and decided to pursue erasure coding, a data-striping method similar to RAID 5 or 6 that has historically been used in object storage systems. It’s ...

Hadoop 2.0 reinvents its approach to job processing with YARN The new Hadoop is nothing less than the Apache Foundation’s attempt to create a whole new general framework for the way big data can ...

Fortunately, there are alternatives to Hadoop when it comes to big data projects. While not applicable to all situations, I've found that a Hadoop alternative can save time, money and slash risk.

How Apache Spark Is Transforming Big Data Processing, Development Spark can replace the Hadoop MapReduce computation framework and many Hadoop vendors and users are replacing MapReduce with Spark.

So, Microsoft launched the Hadoop on Windows Azure service to make it possible to distribute the load and speed up big data computations. For some time Microsoft didn’t offer a solution for ...

A number of the largest big data vendors, including IBM, Hortonworks and Pivotal, have banded together to specify a unified base platform for the open source Hadoop data processing software. The ...

Databricks believes that big data is a huge opportunity that is still largely untapped and wants to make it easier to deploy and use. Written by Dan Kusnetzky, Contributor July 1, 2014, 6:09 a.m. PT ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech ...

Amazon has recently announced that customers can now use the Apache Flink stream processing framework for real-time data analytics on the platform, along with other popular tools such as Kafka and ...