For a real-time analytics application, how would you configure Flume to ensure minimal latency in data delivery?
- Enable Compression
- Increase Batch Size
- Increase Number of Sinks
- Use Memory Channel
To ensure minimal latency in data delivery for a real-time analytics application, configuring Flume to use a Memory Channel is crucial. Memory Channel stores events in memory, providing low-latency data transfer for real-time processing.
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