How can we achieve scalability in stream processing systems?
An example of an AI chatbot conversation about scalability in stream processing systems.
How can we achieve scalability in stream processing systems?
Scalability in stream processing can be achieved by using distributed architectures, load balancing, and partitioning data.
What are some popular frameworks for stream processing?
Some popular frameworks include Apache Kafka, Apache Flink, and Apache Spark Streaming.
How do I choose the right framework for my needs?
Consider factors like data volume, latency requirements, and ease of integration with your existing systems.
Can you explain the concept of backpressure in stream processing?
Backpressure is a mechanism to prevent overwhelming a system by slowing down data production when consumers can't keep up.
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