Modern systems, such as Hadoop Distributed File System (HDFS), are primarily designed for large datasets and are often burdened by the metadata overhead when managing vast numbers of small files.

Doug Cutting, creator of the distributed computing platform Hadoop, on why the platform is in an almost unassailable position and what's in store for the platform.

HDFS (Hadoop Distributed File System) is a distributed user level file system which stores, processes, retrieves and manages data in a Hadoop cluster.

Abstract—The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, ...

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 ...

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 ...

SAP is using the Hadoop distro vendor MapR's file system in its cloud storage layer, and not just for Hadoop/Big Data.

Facebook deployed Raid in large Hadoop Distributed File System (HDFS) clusters last year, to increase capacity by tens of petabytes, as well as to reduce data replication. But the engineering team ...