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HPCC: System architecture, HPCC Systems & Software architecture

HPCC (High-Performance Computing Cluster), also known as DAS (Data Analytics Supercomputer), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing for…

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HPCC topic overview

The analysis highlights System architecture, HPCC Systems and Software architecture as prominent areas in the source structure around HPCC.

Related topics
22
Source areas
4
Connected nodes
26
Extracted relationships
67
Concept neighborhoods
16
Bridge connections
26

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

System architecture · 10 topics
Overview · 8 topics
HPCC Systems · 3 topics
Software architecture · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
HPCC Systems, LexisNexis Risk Solutions
License
Apache License 2.0
Operating system
Linux
Release
15-06-2011
Repository
https://github.com/hpcc-systems
Stable release
7.4.18-1 / 13-09-2019

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

System architecture

Software architecture

HPCC Systems

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How HPCC connects Entity context

The extracted context around HPCC shows recurring relationship patterns in the source. For example, HPCC → Address Data Management, Analysis ChallengesProgramming, Archived, Big Data Analytics Certificate, Big Data PlatformHPCC Systems, Billions, BORPS, Business Wire, ClusterLexisNexis Data Analytics SupercomputerLexisNexis, Clusters, DAS, Data Analytics Supercomputer, Develop Innovative Computer Model, Ebola SpreadCPL Online, February, FindArticles, Foundation Rapid Response Grant, HPCC Systems, Information Analytics Group, LexisNexis Brings Its Data Another extracted example is HPCC → Amazon Web Services, Apache License, Community Edition, Enterprise Edition, High Performance Computing Cluster, HPCC Systems, In January, In June, In November, LexisNexis Risk Solutions, The Community Edition, The Enterprise Edition, Thor Data Refinery Cluster. Use these groups to spot repeated connection types before inspecting the individual relationships.

HPCC

Top relations

related to External links · 32
HPCC → Address Data Management, Analysis ChallengesProgramming, Archived, Big Data Analytics Certificate, Big Data PlatformHPCC Systems, Billions, BORPS, Business Wire, ClusterLexisNexis Data Analytics SupercomputerLexisNexis, Clusters, DAS, Data Analytics Supercomputer, Develop Innovative Computer Model, Ebola SpreadCPL Online, February, FindArticles, Foundation Rapid Response Grant, HPCC Systems, Information Analytics Group, LexisNexis Brings Its Data
related to HPCC Systems · 13
HPCC → Amazon Web Services, Apache License, Community Edition, Enterprise Edition, High Performance Computing Cluster, HPCC Systems, In January, In June, In November, LexisNexis Risk Solutions, The Community Edition, The Enterprise Edition, Thor Data Refinery Cluster
related to System architecture · 8
HPCC → ETL, Google, Hadoop MapReduce, Norse, Roxie, The, The HPCC, Thor
related to Software architecture · 6
HPCC → Figure, Roxie, The, The HPCC, Thor, Usually
Developers · 1
HPCC → HPCC Systems, LexisNexis Risk Solutions
License · 1
HPCC → Apache License 2.0
Operating system · 1
HPCC → Linux
Release · 1
HPCC → 15-06-2011
Repository · 1
HPCC → https://github.com/hpcc-systems
Stable release · 1
HPCC → 7.4.18-1 / 13-09-2019

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data thor processing cluster roxie includes high-performance platform systems system applications lexisnexis computing parallel software online architecture also hadoop ecl

HPCC relationships Subject–Predicate–Object triples

TTTA extracted 67 structured relationships around HPCC. Examples in this analysis include HPCC → Developers → HPCC Systems, LexisNexis Risk Solutions and HPCC → License → Apache License 2.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
HPCCDevelopersHPCC Systems, LexisNexis Risk Solutions1.00infobox
HPCCLicenseApache License 2.01.00infobox
HPCCOperating systemLinux1.00infobox
HPCCRelease15-06-20111.00infobox
HPCCRepositoryhttps://github.com/hpcc-systems1.00infobox
HPCCStable release7.4.18-1 / 13-09-20191.00infobox
HPCCWebsitehpccsystems.com1.00infobox
HPCCWritten inC++, ECL1.00infobox
HPCCrelated to External linksSandia0.60section
HPCCrelated to External linksNational Laboratories Leverages0.60section
HPCCrelated to External linksData Analytics Supercomputer0.60section
HPCCrelated to External linksDAS0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around HPCC bring nearby vocabulary together. In this analysis, examples include Systems, Lexisnexis and Thor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • HPCC
    • Systems
    • Lexisnexis
    • Thor
    • Includes
    • Processing
    • Platform
    • Software
    • Roxie
    • Architecture
    • Risk
    • System
    • Clusters
  • hpcc
    • Systems
    • Lexisnexis
    • Thor
    • Includes
    • Processing
    • Platform
    • Software
    • Roxie
    • Architecture
    • Risk
    • System
    • Clusters
  • data-intensive computing
    • Lexisnexis
    • Analytics
    • Risk
    • Platform
    • Systems
    • Big
    • Cluster
    • Solutions
    • Hpcc
    • Data
    • Clusters
    • Software
  • software architecture
    • Software
    • Provide
    • System
    • Clusters
    • Solutions
    • License
    • Hpcc
    • Data
    • Systems
    • Big
    • Ecl
    • Risk
  • commodity computing clusters
    • Lexisnexis
    • Analytics
    • Risk
    • Big
    • Platform
    • Provide
    • Systems
    • Cluster
    • Solutions
    • Hpcc
    • Data
    • Clusters
  • big data
    • Platform
    • Processing
    • High-performance
    • Hpcc
    • Clusters
    • Parallel
    • Applications
    • Computing
    • Analytics
    • System
    • Thor
    • Lexisnexis
  • data cleansing
    • Platform
    • Processing
    • High-performance
    • Hpcc
    • Parallel
    • Applications
    • Analytics
    • System
    • Thor
    • Lexisnexis
    • Online
    • Roxie
  • data warehouse
    • Platform
    • Processing
    • High-performance
    • Hpcc
    • Parallel
    • Applications
    • Analytics
    • System
    • Thor
    • Lexisnexis
    • Online
    • Roxie

Connections between topic areas Semantic bridges

For HPCC, one of the stronger structural bridges in this analysis connects HPCC with System architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
HPCC — System architecture · splits 16 ⟂ 11
HPCC — Overview · splits 18 ⟂ 9
HPCC — HPCC Systems · splits 23 ⟂ 4

Map overview Semantic statistics

HPCC

Nodes27
Edges26
Triples67
Avg. degree1.93
Density0.074074
Components1

Source & methodology

TTTA analyzes the structure around HPCC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as System architecture, HPCC Systems & Software architecture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — HPCC · EN edition · Analysis: TopicsToTalkAbout

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