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 ...

NEW YORK--(BUSINESS WIRE)--BlueTalon, a leading provider of data-centric security for Hadoop, SQL and big data environments, today unveiled breakthrough data protection for Hadoop – including the ...

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 ...

For large-scale analytics, a distributed file system is kind of important. Even if you’re using Spark you need to pull a lot of data into memory very quickly. Having a file system that supports high ...

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 ...

As the undisputed pioneer of big data, Google established most of the key technologies underlying Hadoop and many of the NoSQL databases. The Google File System (GFS) allowed clusters of commodity ...

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 ...

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 ...

Just about a year ago, I first mentioned TidyFS, a new, small distributed file system under development by Microsoft Research. Later this week at the Usenix '11 conference, Microsoft researchers ...