Challenges in Stream Processing

Streaming data processing enables organizations to deliver personalized and dynamic experiences to users in real-time. For example, in e-commerce or digital advertising, real-time analysis of user behavior and preferences can be used to deliver personalized recommendations or targeted advertisements instantly.

Overall, processing streaming data offers the advantage of real-time insights, rapid detection and response, continuous processing, scalability, enhanced situational awareness, and the ability to provide personalized and real-time experiences. These benefits make stream processing invaluable in numerous use cases across industries.

Streaming Use Cases:

• Fraud detection
• Real-time stock trades
• Marketing, sales, and business analytics
• Customer/user activity
• Log Monitoring: Troubleshooting systems, servers, devices, and more
• Ride share matching

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