Description
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.
