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Developing a data harvester in the Amazon cloud for the automated assimilation of Florida's healthy beaches reports into the GCOOS data portal

机译:在亚马逊云中开发数据收集器,以将佛罗里达州的健康海滩自动吸收到GCOOS数据门户中

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摘要

The Florida Department of Health funds beach water sampling for 34 of Florida's coastal counties. Mote Marine Laboratory, in conjunction with the Gulf of Mexico Coastal Ocean Observing System (GCOOS) developed an automated data harvester that used Web scraping technology to capture the reported data from each monitored county and store the data in a MySQL database. The database was queried nightly and the results were used to build XML files that were ingested by GCOOS and published through the GCOOS Data Portal. In early 2013 the Florida Department of Health outsourced their Web site to a commercial service provider. The new Healthy Beaches Web site used a mash-up of Google Maps and JavaScript code and no longer returned a standard HTML document. The conversion from traditional Web page to dynamic mash-up rendered our data harvester inoperable. Our entire data pipeline had to be completely rebuilt.
机译:佛罗里达卫生部资助了佛罗里达州34个沿海县的海滩水采样。 Mote海洋实验室与墨西哥湾沿海海洋观测系统(GCOOS)共同开发了一种自动数据采集器,该采集器使用Web抓取技术来捕获每个受监视县的报告数据并将其存储在MySQL数据库中。每晚查询该数据库,结果用于构建XML文件,这些文件由GCOOS提取并通过GCOOS数据门户发布。在2013年初,佛罗里达卫生部将其网站外包给一家商业服务提供商。新的Healthy Beaches网站使用了Google Maps和JavaScript代码的混搭,不再返回标准的HTML文档。从传统网页到动态混搭的转换使我们的数据收集器无法运行。我们的整个数据管道必须完全重建。

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