What are the challenges associated with real-time data processing?

Challenges associated with real-time data processing include scalability, as systems need to handle increasing data volumes without sacrificing performance; latency, as there's a need for quick data processing to meet real-time requirements; and data consistency, ensuring that data remains accurate and coherent across distributed systems despite concurrent updates. Addressing these challenges is crucial for maintaining the reliability and effectiveness of real-time processing systems.