The digital journey of banking and insurance. Volume III, Data storage, data processing and data analysis /

Bibliographic Details
Corporate Author:	ProQuest (Firm)
Other Authors:	Liermann, Volker (Editor), Stegmann, Claus (Editor)
Format:	eBook
Language:	English
Published:	Cham : Palgrave Macmillan, [2021]
Subjects:	Banks and banking > Technological innovations. Banks and banking > Data processing. Insurance > Technological innovations. Insurance > Data processing. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.