Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

Platform Computing supports a wide range of customers, many of which are embarking on MapReduce initiatives as a way of managing the extreme growth in unstructured data, Scott Campbell, director, ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...

Apache's open source, Java-based Hadoop project implements the Map/Reduce paradigm. It is designed to be highly scalable. Apache's Hadoop is an open source project that implements a Java-based, ...

Amazon Web Services (AWS) has updated its Elastic Map Reduce platform with a new version of Hadoop and updated support for its data analytics ecosystem. Elastic Map Reduce is AWS platform for ...

Big Data is getting bigger as the Internet of Things (IoT) continues to intensify to an expected 25 billion connected devices by 2020, according to Gartner[i]. Between now and 2020, EMC estimates data ...

The latest release of Apache Hadoop code includes a new workload management tool that backers of the project say will make it easier for developers to build applications for the big data platform.

Hadoop's 2.0 release includes Yarn, a workload manager that could make it much easier to build and run apps on the open source big data platform The latest release of Apache Hadoop code includes a new ...