Architecture Patterns—Batch and Real-Time Capabilities

Dennis Kraetz () and Michael Morawski ()
Additional contact information
Dennis Kraetz: ifb SE
Michael Morawski: ifb SE

A chapter in The Digital Journey of Banking and Insurance, Volume III, 2021, pp 89-104 from Springer

Abstract: Abstract The Lambda architecture approach is designed to handle massive quantities of data by taking advantage of a combination of batch and stream processing methods. The authors highlight the main ideas of this approach in the context of financial management in banks and insurance companies.

Keywords: Lambda Architecture; Batch Processing; Stream Processing; Combination Batch & Stream Processing; Event Stream Processing (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_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030788216

DOI: 10.1007/978-3-030-78821-6_6

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 ().