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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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