What are the main challenges in stream processing?
Some key challenges include data consistency, latency, fault tolerance, and scalability.
Can you explain why data consistency is a challenge?
Data consistency is tough because stream processing often involves handling data from multiple sources in real-time.
What about fault tolerance? How is that managed?
Fault tolerance is managed through techniques like checkpointing and replication to ensure data isn't lost during failures.
Are there specific tools that help with these challenges?
Yes, tools like Apache Kafka, Apache Flink, and Apache Spark Streaming are designed to address these challenges.
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