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HPCC
来自开放百科 - 灰狐
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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)
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
ECL IDE
Thor
Thor (the Data Refinery Cluster)
Roxie
Roxie (Rapid Online XML Inquiry Engine)
ESP
ESP (Enterprise Services Platform)
Hadoop
AWS
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
Risk解决方案
HPCC用例
SALT方法
Linking方法
链接
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