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HPCC
来自开放百科 - 灰狐
（版本间的差异）
小 (→Identity&Risk) |
小 (→IDE) |
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| 第36行： | 第36行： | ||
==IDE== | ==IDE== | ||
[https://github.com/hpcc-systems/eclide eclide] [[C++]]编写 | [https://github.com/hpcc-systems/eclide eclide] [[C++]]编写 | ||
| + | |||
| + | ==Hadoop== | ||
| + | [https://hpccsystems.com/why-hpcc-systems/hpcc-hadoop-comparison HPCC和Hadoop的比较] | ||
==文档== | ==文档== | ||
2017年1月9日 (一) 06:03的版本
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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。
目录 |
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)
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
IDE
Hadoop
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
图集
架构
架构
数据分析
Lambda架构
Hadoop MapReduce
Pig
HPCC组件
ECL Watch
ELC操作平台
ETL平台
机器学习模块
链接
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