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

Autor: Adam Belloum, Mikolaj Baranowski, Reginald Cushing, Onno Valkering
Rok vydání: 2020
Předmět:
Zdroj: Computing and Informatics
COMPUTING AND INFORMATICS; Vol. 39 No. 4 (2020): Computing and Informatics; 678–694
ISSN: 1335-9150
2585-8807
DOI: 10.31577/cai_2020_4_678
Popis: With the increasing amount of data the importance of data analysis in various scientific domains has grown. A large amount of the scientific data has shifted to cloud based storage. The cloud offers storage and computation power. The Cookery framework is a tool developed to build scientific applications using cloud services. In this paper we present the Cookery systems and how they can be used to authenticate and use standard online third party services to easily create data analytic pipelines. Cookery framework is not limited to work with standard web services; it can also integrate and work with the emerging AWS Lambda which is part of a new computing paradigm, collectively, known as serverless computing. The combination of AWS Lambda and Cookery, which makes it possible for users in many scientific domains, who do not have any program experience, to create data processing pipelines using cloud services in a short time.
Databáze: OpenAIRE