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 ...

Google this week announced a Google Cloud Storage Connector for Hadoop aiming to simplify Big Data analysis on its cloud platform by eliminating the need to use the oft-maligned Hadoop Distributed ...

EMC Isilon scale-out NAS, integrated with the Hadoop Distributed File System (HDFS) protocol, aims to provide customers with a solution for accelerating enterprise-wide deployment of Apache-based ...

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 ...

Suppose you want to run regular statistical analyses on your Web site’s traffic log data — several hundred terabytes, updated weekly. (Don’t laugh. This is not unheard of for popular Web sites.) ...

Thank heaven for Hive, a data analysis and query front end for Hadoop that makes Hadoop data files look like SQL tables Apache Hive is a specialized execution front end for Hadoop. Hive lets you write ...

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 ...