Hadoop utilizes a scale-out architecture that makes use of commodity servers configured as a cluster, where each server possesses inexpensive internal disk drives. As the Apache Project’s site states, ...

Cutting began creating the distributed computing platform in the mid-2000s – based on two papers written by Google about technologies powering its search engine Google File System and MapReduce.

Big data can mean big threats to security, but BlueTalon just launched what it calls the first-ever filtering and dynamic masking capabilities for use directly on the Hadoop Distributed File ...

Apache Hadoop has been the driving force behind the growth of the big data industry. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?

Quantcast, an internet audience measurement and ad targeting service, processes over 20 petabytes of data per day using Apache Hadoop and its own custom file system called Quantcast File System (QFS).

SAP is using the Hadoop distro vendor MapR's file system in its cloud storage layer, and not just for Hadoop/Big Data. Written by Andrew Brust, Contributor April 7, 2017, 9:55 a.m. PT ...

Several distributed file systems are used over the cloud because the cloud itself includes large numbers of commodity-grade servers, harnessed to deliver highly scalable and on-demand services.

At its core, we have MapReduce, YARN and the Hadoop Distributed File System, but the number of peripheral Apache projects that compliment Hadoop -- including Ambari, Chukwa, Avro, HBase and Mahout -- ...

As I mentioned, Spark does not include its own system for organizing files in a distributed way (the file system) so it requires one provided by a third-party. For this reason many Big Data ...