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 ...

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 ...

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 ...

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 ...

Did you know that 90% of the world’s data has been created in the last two years alone? With such an overwhelming influx of information, businesses are constantly seeking efficient ways to manage and ...

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 ...

Many of the major advances in HPC have been the result of collaboration between academia and the big government labs. This has been the case with PVFS (Parallel Virtual File System) and its latest ...

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 ...