Now, Vishwa will summaries your learnings from this session.
The important points covered in this session are as follows:
- In batch processing, data is collected over a period of time and then processed. Whereas in real-time processing, data is processed as and when it comes.
- Traditional messaging systems pose several challenges, and this is where Kafka comes into the picture.
- Kafka is a distributed streaming platform, and it follows the pub-sub model.
- Kafka brings out the best of both the queueing and publish-subscribe model.
- Kafka is used in many industries.
- You also looked at the Kafka architecture and understood its different components.
The PPT that was used throughout this session is attached below.
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