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 ...

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.

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 ...

At its core, we have MapReduce, YARN and the Hadoop Distributed File System, but the number of peripheral Apache projects that compliment Hadoop -- including Ambari, Chukwa, Avro, HBase and Mahout -- ...

The good news is Hadoop is one of the most cost-effective ways to store huge amounts of data. You can store all types of structured, semi-structure, and unstructured data within the Hadoop Distributed ...

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 ...

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 ...

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 ...