Completed
Streams processing Kafka Streams
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Classroom Contents
Harnessing Complex Event Processing for Fraud Detection
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- 1 Intro
- 2 Article 29 of Act on Games and Mutual Bagering
- 3 Our latest goal
- 4 Deciphering the content
- 5 Chapter 1
- 6 Limited amount of system types
- 7 Two types of markets
- 8 Most common frauds and money laundering attempts in gambling
- 9 Chapter 2
- 10 Market requirements
- 11 First approach - (B)ELK
- 12 Narrowing down the requirements
- 13 Current (legacy) architecture
- 14 Beggars can't be choosers 2/2
- 15 Chapter 3
- 16 Target solution technologies
- 17 Streams processing Kafka Streams
- 18 Esper CEP engine overview
- 19 Event processing model
- 20 Physical cashbox tampering
- 21 Multiple coin/note cash-in
- 22 Parallel identity usage
- 23 Questions
