What's the main difference between Hadoop and Flink?
Hadoop is primarily a batch processing framework, while Flink is designed for stream processing. Flink can handle real-time data, whereas Hadoop processes data in batches.
Which one is more efficient for real-time analytics?
Flink is generally more efficient for real-time analytics due to its ability to process data streams continuously, whereas Hadoop's batch processing can introduce latency.
Can you give me examples of use cases for each?
Sure! Hadoop is often used for data warehousing and large-scale batch processing tasks, while Flink is used for real-time data processing applications like fraud detection and monitoring.
Is it possible to use them together?
Yes, they can be used together! You can use Hadoop for storage and batch processing, while Flink can process the data in real-time as it flows in.
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