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 ...

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 ...

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 ...

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 ...

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility allowed ...

Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...

If you’re a regular Datanami reader, you likely know MapR Technologies as a Hadoop distributor, one of the three “pure play” providers alongside Hortonworks and Cloudera. But with its integrated NoSQL ...

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 ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.