### Q1: What is the primary difference between real-time data processing and batch processing?  
### Q2: Can you explain how Apache Kafka and Apache Flink contribute to real-time data processing in fintech?  
### Q3: What are some challenges associated with implementing real-time data processing technologies in a fintech environment?  
### Q4: In what ways can real-time data processing lead to improved customer experiences in the fintech sector?  
### Q5: How can the use of cloud computing enhance the scalability of real-time data processing systems?  
### Q6: What specific business scenarios could benefit from immediate data processing capabilities?  
### Q7: How would you communicate the importance of real-time data processing to a non-technical stakeholder?  
### Q8: What strategies can be employed to ensure effective collaboration between technical and business teams regarding real-time data initiatives?  
### Q9: How can you effectively present the benefits of real-time data processing to potential clients in the fintech space?