Fivetran

概述
公司介绍
FiveTran 为数据分析师提供集成构建和在线数据分析服务集成。他们的技术由数据分析师的现实需求塑造,并支持敏捷分析,从而实现跨组织的数据支持决策。 Fivetran 开始意识到:对于使用基于云的软件和存储的现代公司来说,传统的 ETL 工具表现不佳,而且它们所需的复杂配置经常导致项目失败。 Fivetran 全自动连接器将来自云应用程序、数据库、事件日志等的数据同步到用户的数据仓库中。它的集成是为需要集中数据但不想花时间维护自己的管道或 ETL 系统的分析师构建的。该公司通过电子表格功能提供服务。
物联网解决方案
Fivetran 帮助分析师将数据复制到云仓库中。我们让复制变得轻松 Fivetran 可以 100% 处理您的管道维护和设置。 - 专为分析师打造,经工程师认可。 - 复制一切,零配置和专为分析设计的模式。消除工程繁忙工作,同时让您的分析师能够证明价值。 - 五分钟设置。单击 10 次,您就可以将数据同步到您的仓库中。 - 可查询的数据。我们准备您的数据,以便您可以立即运行分析: - 支持现代云仓库 - 可扩展 - 下一级企业安全
主要客户
Talkdesk、Shopkeep、DonorsChoose、Sharethrough、Managed by Q、Fast Spring 等。
物联网应用简介
Fivetran 是平台即服务 (paas), 应用基础设施与中间件, 和 分析与建模等工业物联网科技方面的供应商。同时致力于建筑物, 和 运输等行业。
技术
用例
行业
服务
技术栈
Fivetran的技术栈描绘了Fivetran在平台即服务 (paas), 应用基础设施与中间件, 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.

Case Study
A Construction Marketplace, Uses Fivetran as its Digital Building Block
Enabling data-driven decision makingLaunched in 2018 with a clear mission, Schüttflix wanted to bring digital processes to ‘a pen and paper industry’ and transform highly localized supply chains. The founders knew that data would be important, providing internal and external stakeholders with the best data to make informed decisions. Tasked with building a modern data stack, Alexander Rupp, Head of Data and Business Intelligence, started by evaluating the connectors that could tap into key data sources. Fivetran emerged as the best fit for the business because it was fast and reliable. Rupp was setting up connectors in an hour, something that would have taken weeks otherwise.

Case Study
Lendi Makes Data-driven Decisions with Fivetran
Building an accurate profile of each customer requires tapping into behavioral data on third-party engagement platforms such as Facebook, Google and Bing. This data is readily available to Lendi, but the insights from each platform are siloed and don’t integrate very easily. Even when the data can be brought into the same repository, the data structure is often inconsistent, creating the need to clean the data before it can be put to use. Making sure stakeholders from across the company — marketers, accountants, brokers and customer service reps, for example — are able to analyze and create actionable insights from third-party data is the responsibility of Daniel Deng, Lendi’s Data Architect.
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