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Kafka: Real-Time Streaming for the Finance Industry

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The Digital Journey of Banking and Insurance, Volume III

Abstract

Apache Kafka offers a cost-efficient way to modernize IT landscapes and enable innovation. Increasing data volumes and the ability to process events in real time require a platform such as Kafka. Because of its integration capabilities, one can also combine Kafka with standard software for use cases that require best practice business logic (e.g., accounting). It is not necessary to completely replace the current architecture with Kafka all at once. One can start with just a few use cases in order to gain experience and add more over time. Cloud infrastructure also makes it easier to start with Kafka with only a limited investment.

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Notes

  1. 1.

    See Amazon Web Services (2020).

Literature

  • Amazon Web Services. 2020. Amazon Elastic Kubernetes Service. Accessed December 16, 2020. https://aws.amazon.com/eks/.

  • Apache Software Foundation. 2020. Apache Kafka. Accessed December 16, 2020. https://kafka.apache.org/.

  • Confluent. 2020. Confluent. Accessed December 16, 2020. https://www.confluent.io/.

  • Liermann, Volker, Sangmeng Li, and Ralph Steurer. 2021. “Kafka—A Practical Implementation of Intraday Liquidity Risk Management.” In The Digital Journey of Banking and Insurance, Volume III—Data Storage, Processing, and Analysis, edited by Volker Liermann and Claus Stegmann. New York: Palgrave Macmillan.

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Correspondence to Ralph Steurer .

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Steurer, R. (2021). Kafka: Real-Time Streaming for the Finance Industry. In: Liermann, V., Stegmann, C. (eds) The Digital Journey of Banking and Insurance, Volume III. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-78821-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-78821-6_5

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-78820-9

  • Online ISBN: 978-3-030-78821-6

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

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