The Digital Journey of Banking and Insurance, Volume III : Data Storage, Data Processing and Data Analysis

edited by Volker Liermann, Claus Stegmann

Part I. Big Data and Special Databases -- Chapter 1. Data Lineage -- Chapter 2. Digitization and MongoDB – The Art of Possible -- Chapter 3. Graph Databases -- Chapter 4. Data Tiering Options with SAP HANA and Usage in a Hadoop Scenario -- Part II. Streaming -- Chapter 5. Kafka – Real-Time Streaming for the Finance Industry -- Chapter 6. Architecture Patterns – Batch & Real-Time Capabilities -- Chapter 7. Kafka – A Practical Implementation of Intraday Liquidity Risk Management -- Part III. Data: A View on Meta Aspects -- Chapter 8. Data Sustainability – A Thorough Consideration -- Chapter 9. Special Data for Insurance Companies -- Chapter 10. Data Protection – Putting the Brakes on Digitalization Processes? - Part IV. Distributed Ledger -- Chapter 11. Digital Identity Management – for Humans Only? - Part V. Machine Learning and Deep Learning -- Chapter 12. Overview Machine Learning and Deep Learning Frameworks -- Chapter 13. Methods of Machine Learning -- Part VI. Summary.

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Year of publication:	2021 ; 1st ed. 2021.
Other Persons:	Liermann, Volker (ed.) ; Stegmann, Claus (ed.)
Publisher:	2021.: Cham : Springer International Publishing 2021.: Cham : Imprint: Palgrave Macmillan
Subject:	Bankgeschäft \| Banking services \| Digitalisierung \| Digitization \| Big Data \| Big data \| Datenschutz \| Data protection \| Datenqualität \| Data quality \| Künstliche Intelligenz \| Artificial intelligence

Extent:	1 Online-Ressource(XXXI, 256 p. 96 illus., 91 illus. in color.)
Series:	Springer eBook Collection
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-3-030-78821-6 ; 978-3-030-78820-9 ; 978-3-030-78822-3 ; 978-3-030-78823-0
Other identifiers:	10.1007/978-3-030-78821-6 [DOI]
Classification:	Banken, Versicherungen
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012655215