Cookery: A Framework for Creating Data Processing Pipeline Using Online Services

Mikolaj Baranowski, A. Belloum, R. Cushing, O. Valkering
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引用次数: 5

Abstract

With the increasing amount of data the importance of data analysis has grown. A large amount of this data has shifted to cloud-based storage. The cloud offers storage and computation power. The Cookery framework is a tool developed to build application in the cloud for scientists without a complete understanding of programming. In this paper with present the cookery systems and how it can be used to authenticate and use standard online 3rd party services to easily create data analytics pipeline. Cookery framework is not limited to work with standard web services, it can also integrate and work with the emerging AWS Lambda. The combination of AWS Lambda and Cookery, which makes it possible for people, who do not have any program experience, to create data processing pipeline using cloud services in short time.
烹饪:一个使用在线服务创建数据处理管道的框架
随着数据量的增加,数据分析的重要性也越来越大。大量此类数据已转移到基于云的存储中。云提供存储和计算能力。Cookery框架是一种为不完全了解编程的科学家开发的云应用程序的工具。本文介绍了cookery系统,以及如何使用它来验证和使用标准的在线第三方服务来轻松创建数据分析管道。Cookery框架并不局限于使用标准的web服务,它还可以集成和使用新兴的AWS Lambda。AWS Lambda和Cookery的结合,使得没有任何编程经验的人也可以在短时间内使用云服务创建数据处理管道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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