Decentralized and Microservice-Oriented Data Integration for External Data Sources

Christoph Schröer () and Jonas Frischkorn ()
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Christoph Schröer: Volkswagen AG, Corporate Foresight
Jonas Frischkorn: Volkswagen AG, Corporate Foresight

A chapter in Innovation Through Information Systems, 2021, pp 55-60 from Springer

Abstract: Summary Data lakes offer good opportunities to centrally use heterogeneous data for analytical questions in companies. However, there are also challenges and risks regarding missing reference architectures, accessibility or usability. By using modern architecture patterns such as microservices, data can alternatively be managed in a technically and organizationally decentralized manner. Easily accessible interfaces and microservice architecture patterns can maintain important data lake characteristics, such as accessibility and the provision of metadata. Thus, costs can be saved, data can be held accountable in the respective domains, and at the same time interfaces for analytical questions can be provided. The paper illustrates the idea in the form of a work-in-progress paper using the integration of external data sources as an example.

Keywords: Data lake; Microservice; External data sources (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86800-0_4

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DOI: 10.1007/978-3-030-86800-0_4

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