HPCC

2017年1月9日 (一) 06:35的版本

您可以在Wikipedia上了解到此条目的英文信息 HPCC Thanks, Wikipedia.

HPCC (High-Performance Computing Cluster), 也称为 DAS (Data Analytics Supercomputer) 是一个开源(Apache v2)的大数据处理和分析平台，使用 C++ 和 ECL 开发。

组件

HPCC Systems 包括以下核心组件：

• Thor (the Data Refinery Cluster)
• Roxie (the Query Cluster)
• ECL (Enterprise Control Language)
• ECL IDE
• ESP (Enterprise Services Platform)

平行

Parallelism Architecture：

• Data Parallelism
• Pipeline Parallelism
• System Parallelism

指南

下载 HPCC 虚拟机，快速启动。

机器学习

• ECL Machine Learning library ECL编写
• Machine Learning Library Reference
• Developing Machine Learning Algorithms on HPCC/ECL Platform
• Unsupervised Learning and Image Classification in High Performance Computing Cluster
• Optimizing Supervised Machine Learning Algorithms and Implementing Deep Learning in HPCC Systems

Identity&Risk

• 2016 North American Healthcare Identity Management Technology Innovation Award
• Security and Privacy in a Big Data World
• Crowdsourcing large scale identity theft and fraud to make bucket loads of easy money
• Data Analytics Governance and Ethics
• Data Analytics in Cyber-Security and Threat Intelligence

可视化

HPCC Visualization Framework JavaScript编写

ECL

• ECLBuilder HPCC Systems ECL Builder

IDE

eclide C++编写

Hadoop

HPCC和Hadoop的比较

文档

• Introduction to HPCC
• ECL程序员中文指南
• ECL Programmers Guide
• ECL Best Practices
• ECL Language Reference 400多页
• ECL Standard Library Reference
• Dynamic ESDL (Enterprise Service Description Language)
• Installing & Running the HPCC Platform

更多文档>>>

图集

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  架构

• 

  架构

• 

  数据分析

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  Lambda架构

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  Hadoop MapReduce

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  Pig

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  HPCC组件

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  ECL Watch

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  ELC操作平台

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  ETL平台

• 

  机器学习模块

链接

• HPCC官网
• HPCC VM下载
• HPCC文档
• HPCC @ GitHub
• HPCC Systems Wiki
• HPCC Systems on Amazon Web Services