最后，作者认为，数据整合工具会越发普遍易用，人们将不再需要通过第三方的帮助来消化他们所找寻讯息。
Eventually, the authors think that data mashup tools will become so commonplace and easy to use that people will no longer need third parties help them consume the information they seek.
WebSphereDataStage数据整合工具天生就具有很好的灵活性，可以为etl、ELT和TEL拓扑提供固有支持。
WebSphere DataStage is an inherently flexible data consolidation tool that can natively support ETL, ELT, and TEL topologies.
要让这些评论有意义，酒店还需要信誉监测工具，像Revinate和Synthesio，能够收集整合网上各种评论数据并对其评分。
To make sense of reviews, hotels are turning to reputation monitoring tools like Revinate and Synthesio that aggregate, organize, and score review data from across the web.
数据整合模式的产品实现通常提供了非常复杂的工具支持，以指定源和目标之间的映射(数据流)。
Product implementations of the data consolidation pattern frequently provide highly sophisticated tooling support to specify the mappings (data flows) between the sources and the target.
现代的业务运营在数据库和Web站点之上，Geronimo是将这两者整合到一起的一种强大工具。
Modern businesses run on their databases and Web sites, and Geronimo is a powerful tool for integrating the two.
整合订单变动数据（从SAP和邮件）并使用已有的工具通知客户。
Consolidate the information about order changes(from SAP and Email) and inform customer with existing tool.
你可以用它提供的灵活性来整合不同的数据源并结合你选择的工具、应用程序和平台服务来为你的需求建立正确的解决方案。
You can use this flexibility to integrate diverse data stores and use your choice of tools, applications, and platform services to create the right solutions for your needs.
为了允许私有数据格式到一个常用的格式间的一个快速转换，需要满足这个目的并能够容易地整合到流程系统中的工具包。
To allow for a quick conversion of the proprietary data format into a commonly used one, toolkits are required that reach this aim and can be easily integrated into workflow systems.
随着数据量以指数方式增长，在数据管理、可视化、整合、分析、建模和预测的工具和方法的需求上有一个类似的增长。
As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
随着数据量以指数方式增长，在数据管理、可视化、整合、分析、建模和预测的工具和方法的需求上有一个类似的增长。
As the amount of data grows exponentially, there is a parallel growth in the demand for tools and methods in data management, visualization, integration, analysis, modeling, and prediction.
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