What are the advantages of using Apache Flink?
Apache Flink offers several advantages, including real-time stream processing, high throughput, and fault tolerance.
Can you explain how Flink handles fault tolerance?
Flink uses a mechanism called checkpointing, which periodically saves the state of the application to recover from failures.
Is Flink suitable for batch processing as well?
Yes, Flink can handle both stream and batch processing, making it versatile for various data processing needs.
What makes Flink different from other stream processing frameworks?
Flink's unique features include its ability to process events in real-time with low latency and its support for complex event processing.
Are there any specific use cases where Flink excels?
Flink excels in use cases like real-time analytics, event-driven applications, and data pipeline orchestration.
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