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 ...

Google Inc. yesterday introduced two new connectors for accessing Hadoop data stored in the company's cloud storage platform. Released as previews, BigQuery and Cloud Datastore connectors give ...

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 ...

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 ...

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 ...

Online database repository provider RainStor today announced what it calls the industry’s first enterprise-class database that runs natively on Hadoop. RainStor’s Big Data Analytics on Hadoop software ...