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 ...

At the height of the Hadoop era there were countless storage and analytics startups based on the Hadoop Distributed File System (HDFS), several of which were backed by venture capital firm Andreessen ...

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 ...

In this whitepaper, Yahoo engineers Konstantin Shvachko, Hairong Kuang, Sanjay Radia, and Robert Chansle look at HDFS, the file system component of Hadoop. While the interface to HDFS is patterned ...

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 ...

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 ...

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 ...

What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

MATLAB R2016b tall arrays can provide data from sources that range from a database to a Hadoop Distributed File System (HDFS). MATLAB R2006b introduced the concept of distributed arrays. This allowed ...