What are some use cases for the Kafka Streams API?
The Kafka Streams API is great for real-time data processing. Common use cases include stream processing, data transformation, and real-time analytics.
Can you give me an example of a real-time analytics use case?
Sure! A retail company might use Kafka Streams to analyze customer purchase data in real-time to optimize inventory and personalize marketing.
What about data transformation? How does that work?
Data transformation with Kafka Streams allows you to modify data as it flows through the system, such as filtering, aggregating, or enriching data before sending it to another system.
Are there any limitations to using Kafka Streams?
Yes, some limitations include the need for a Kafka cluster, potential complexity in managing stateful operations, and the learning curve for new users.
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