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 ...

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 ...

Big data can mean big threats to security, thanks to the tempting volumes of information that may sit waiting for hackers to peruse. BlueTalon hopes to tackle that problem with what it calls the first ...

Cloud computing is a new technology which comes from distributed computing, parallel computing, grid computing and other computing technologies. In cloud computing, the data storage and computing are ...

MapR's file system was its original differentiator in the Hadoop market: unlike standard HDFS, which is optimized for reading, and supports writing to a file only once, MapR-FS fully supports the read ...

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, ...

One of the most noteworthy findings from Wikibon’s annual update to our big data market forecast was how seldom Hadoop was mentioned in vendors’ roadmaps. However, none of those really represents the ...

EMC has integrated the open-source Hadoop Distributed File System into its EMC Isilon scale-out storage system, to help it make products that can organise massive unstructured datasets. The Isilon ...

Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...