HPCC (High Performance Computing Cluster) stores and processes large quantities of data, processing billions of records per second using massive parallel processing technology. Large amounts of data across disparate data sources can be accessed, analyzed, and manipulated in fractions of seconds. HPCC functions as both a processing and a distributed data storage environment capable of analyzing terabytes of information.
|Tags||High Performance Computing Big Data Parallel processing Super Computing Computer Cluster Parallel Computing Data Intensive Computing|
|Licenses||Commercial Apache License 2.0|
|Operating Systems||Linux 64 bit|
LexisNexis® Risk Solutions, today announced the availability of version 4.0 of HPCC Systems®, an open-source, enterprise-proven platform for Big Da...
Release Notes: This release adds ECL visualizations (including a new cellFormatter bundle), improvements to ECL Watch Technical Preview, an ECL Plugin for Eclipse's new features, a Roxie Monitoring Tool (Ganglia) Technical Preview which leverages Ganglia, an Open Source, scalable, distributed monitoring system to produce a graphical view of a Roxie cluster's servers , package map improvements, GROUP JOIN and LOOKUP JOIN improvements, and much more.
Release Notes: This release contains updates and fixes from the prior version. Changes include, but are not limited to, documentation updates to JVM settings, Configmgr, Automate Eclipse Help, support for CentOS builds with the -with-plugins variant, clarification of ECL bundle parameter documentation, and more.
Release Notes: Release Candidate for Community Edition 4.2.0-rc2 is now available. Changes include ZAP reports for compiler warnings and errors, updates for Ubuntu 13.10, updates to ECL Playground, fixes to memory usage errors, work unit updates, and other bug fixes.
Release Notes: This release contains improved support for Bundles, minor updates to documentation, changes to package handling, visualization enhancements under ECL Watch Tech Preview, and more.