Data Streaming is used for real-time data processing, allowing continuous flow and processing of data as it arrives. This is different from batch processing, which handles data in chunks.
The key to data streaming is the Publish and Subscribe
Example:
- Companies like Netflix use Kafka to handle billions of messages daily, powering real-time recommendations, analytics, and user activity tracking.
Questions:
- If you’re working with a streaming dataset, why might batch processing not be suitable, and what alternatives would you consider?