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HPCC
来自开放百科 - 灰狐
(版本间的差异)
小 (→Identity&Risk) |
小 (→链接) |
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第64行: | 第64行: | ||
[[category:data analysis]] | [[category:data analysis]] | ||
[[category:c++]] | [[category:c++]] | ||
+ | [[category:huihoo]] |
2017年1月8日 (日) 13:38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。
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
- 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
- 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
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
链接
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