The Apache Hadoop framework consists of three major components: HDFS – HDFS follows a master/slave architecture. Each HDFS cluster has a solitary NameNode that serves as a master server and a number ...

This Spark+MPI architecture enables CaffeOnSpark to achieve similar performance as dedicated deep learning clusters. The Tesla K80s (four per node) and some purpose-built GPU servers sit in the same ...

Figure 1. YARN-Based Architecture of Hadoop 2 Refactoring of resource management from the programming model of MapReduce makes Hadoop clusters more generic. Under YARN, MapReduce is one type of ...

A technology like Hadoop alone doesn’t deliver the business benefits promised by big data. For big data to become more than just promise we’ll need advances in the skill sets of IT professionals, ...

Hortonworks is unveiling the Open Hybrid Architecture initiative for transforming Hadoop into a cloud-native platform, and as part of it, has announced partnerships with IBM and Red Hat to make it ...

LinkedIn last week open sourced DynoYARN, a key piece of technology that allows it to predict how appliacation performance will be impacted as it scales Hadoop to gargantuan proportions, including one ...

Amazon, Cloudera, Hortonworks, IBM, and MapR mix simpler setup of Hadoop clusters with proprietary twists and trade-offs ...

Storm, a top-level Apache project, is a Java framework designed to help programmers write real-time applications that run on Hadoop clusters. Designed at Twitter, Storm excels at processing high ...

“Hadoop 2.0 is truly a fundamental architecture change, one that makes Hadoop significantly more than just a batch platform,” said Arun Murthy, a founder of Hortonworks, and one of the core ...