What are the main challenges of streaming data processing?
An example of an AI chatbot conversation about challenges in streaming data processing.
What are the main challenges of streaming data processing?
Some key challenges include data consistency, latency, fault tolerance, and scalability.
Can you explain why data consistency is a challenge?
Data consistency is challenging because streaming data is often processed in real-time, making it hard to ensure all systems reflect the same state.
What about fault tolerance? How is it managed?
Fault tolerance is managed through techniques like data replication, checkpointing, and using distributed systems to ensure reliability.
Are there specific tools that help with these challenges?
Yes, tools like Apache Kafka, Apache Flink, and Spark Streaming are designed to address these challenges in streaming data processing.
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