This paper provides a high-level overview of how Apache Cassandra™ can be used to replace HDFS, with no programming changes required from a developer perspective, and how a number of compelling ...

The Hadoop Distributed File System (HDFS) is considered a core component of Hadoop, but it’s not an essential one. Lately, IBM has been talking up the benefits of hooking Hadoop up to the General ...

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, ...

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 ...

The Symantec Enterprise Solution for Hadoop is available immediately at no additional charge to Cluster File System customers. It supports Hortonworks Data Platform 1.0 and Apache Hadoop 1.0.2.

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 ...

Other vendors have created distributed file systems for these workloads -- like the Google File System (GFS) and the Hadoop Distributed File System (HDFS).

SQL-H will allow users of its Aster MapReduce Appliance to query data stored in Hadoop Distributed File Systems (HDFS), without the need to work with MapReduce or HDFS directly.

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

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.