Kafka: Real-Time Streaming for the Finance Industry
Ralph Steurer ()
Additional contact information
Ralph Steurer: ifb International AG
A chapter in The Digital Journey of Banking and Insurance, Volume III, 2021, pp 73-88 from Springer
Abstract:
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.
Keywords: Apache Kafka; Real time; Streaming; Events; Event-driven; Scalability; Data; Messaging; ETL; Integration (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-78821-6_5
Ordering information: This item can be ordered from
http://www.springer.com/9783030788216
DOI: 10.1007/978-3-030-78821-6_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().