What are the challenges of maintaining data consistency in streaming applications?

What are the challenges of maintaining data consistency in streaming applications?

Maintaining data consistency in streaming applications can be challenging due to factors like network latency, message ordering, and system failures.

How do different consistency models affect streaming data?

Different consistency models, like eventual consistency or strong consistency, impact how quickly updates are visible and how conflicts are resolved.

Can you explain eventual consistency in more detail?

Sure! Eventual consistency means that, given enough time, all updates will propagate through the system, but immediate consistency isn't guaranteed.

What strategies can be used to ensure data consistency?

Strategies include using distributed transactions, implementing idempotent operations, and leveraging consensus algorithms like Paxos or Raft.