我们的想法是推出一款独一无二的平台,使其既能为“实时”web范围应用提供低延迟数据库,又能利用Hadoop提供的各种各样丰富的数据分析功能。
The idea is to offer a single platform that provides both a low-latency database for "realtime" web-scale applications and the sort of heavy data analysis you get with Hadoop.
传统的(SQL或其他)基于脚本的数据分析报告的构建方式常常是从两维关系数据库表中获取数据。
The traditional (SQL or other) script-based data analytical reports are usually built by pulling data from two-dimensional relational database tables.
数据分析通过REST (REpresentational State Transfer)服务变得可用,该服务是为应用程序提供数据库抽象的数据库接口。
Analysis of data is made available by REST (REpresentational State Transfer) services, a standardized database interface that abstracts the database from the applications.
We can do that by intercepting our observation with the date base and knowledge we required, the whole color map.
通过截取我的观察结果,分析数据库,所需的知识,以及整个彩色图画。
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