It’s been a big year for Apache Hadoop, the open source project that helps you split your workload among a rack of computers. The buzzword is now well known to your boss but still just a vague ...

Hadoop 2.0 reinvents its approach to job processing with YARN The new Hadoop is nothing less than the Apache Foundation’s attempt to create a whole new general framework for the way big data can ...

Using the 2019 edge nodes described in the table, it is possible to place an eight node Hadoop/Spark cluster almost anywhere (that is, 48 cores/threads, 512 GB of main memory, 64 TB of SSD HDFS ...

With today's increasing Big Data demands, Apache Hadoop is proving to be an economic, elastic and highly-effective solution for data storage and analysis. Helping clients meet Big Data demands, ...

Here, we delve into four of the top Big Data tools specifically tailored for Java developers: Apache Hadoop, Apache Spark, DeepLearning4j and JSAT.

These slaves are managed by NodeManagers. NodeManagers ensure the execution of jobs on DataNodes. MapReduce – MapReduce works on the YARN framework and performs distributed processing in parallel in a ...

Pervasive Software Inc., a provider of solutions for cloud-based and on-premises data analysis and integration, has announced that Pervasive DataRush for Hadoop v5.1 is a Cloudera Certified Technology ...

The same honeypots also detected attacks on Apache Flink, an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation.

RRE7 includes a library of R algorithms that can be run in parallel across multiple nodes, which is how Hadoop manages large data sets. RRE 7 can be added to the Cloudera CDH3 and CDH4 Hadoop ...

Informatica is joining the growing ranks of vendors moving to support Hadoop, the open-source framework for large-scale or “big data” processing, the company announced Monday. The 9.1 version ...