________ is a feature in streaming processing frameworks that allows for saving intermediate results to persistent storage.
- Buffering
- Caching
- Checkpointing
- Snapshotting
Checkpointing is a critical feature in streaming processing frameworks that enables fault tolerance and state recovery by periodically saving intermediate processing results to durable storage. This mechanism allows the system to resume processing from a consistent state in case of failures or system restarts, ensuring data integrity and reliability in continuous data processing pipelines.
Loading...
Related Quiz
- Which of the following is an example of a data modeling tool used for designing database schemas?
- How does Apache Flink handle event time processing?
- What role does data profiling play in data modeling best practices?
- What is the role of ZooKeeper in the Hadoop ecosystem?
- Scenario: A new data protection regulation has been enacted, requiring organizations to implement stronger security measures for sensitive data. How would you advise your organization to adapt its data security practices to comply with the new regulation?