技术
- 分析与建模 - 大数据分析
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- 水泥
- 建筑与基础设施
用例
- 施工管理
- 时间敏感网络
服务
- 数据科学服务
关于客户
本例中的客户是空间数据分析的用户,范围可能从公共卫生组织到对冲基金。这些客户以前必须管理自己的基础设施,包括确定计算机的大小、所需的 CPU 周期以及所需的存储容量。他们还必须找到并准备分析所需的数据集。这个过程不仅耗时,而且需要大量的技术专业知识。通过 Google 和 CARTO 之间的合作,这些客户现在可以访问准备好的数据集和强大的数据基础设施,而无需担心存储成本。
挑战
空间数据分析正处于关键时刻。在过去十年左右的时间里,客户必须管理自己的基础设施,包括 GIS 软件的安装和维护。这可能是在笔记本电脑、台式机甚至大型机上,但确定计算机的大小、所需的 CPU 周期以及所需的存储容量的责任落在客户身上。这个过程不仅耗时,而且需要大量的技术专业知识。此外,客户必须找到并准备分析所需的数据集,这可能是一个具有挑战性且成本高昂的过程。
解决方案
Google 和 CARTO 携手将 BigQuery 和 GIS 结合在一起,为空间分析提供强大的数据基础设施。 CARTO 通过准备空间分析中常用的数据集来增加价值,从而节省客户自行查找和准备这些数据集的时间和成本。谷歌还承担存储成本,使客户可以随时使用数据进行分析,而无需任何额外费用。此次合作旨在让更广泛的用户(包括 GIS 专业人员)更容易使用 BigQuery。通过与CARTO的数据观测站集成,客户不再需要加载、处理和准备自己的数据,使系统更加用户友好和高效。
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