Q&A with Chat GPT

 Apache Storm and Apache Kafka serve different purposes in the context of real-time data processing. **Apache Storm:** 1. **Processing Engine:** Storm is a distributed real-time stream processing engine. It is designed for processing and analyzing data in motion, as it flows through the system.    2. **Data Transformation:** Storm allows you to define complex data processing topologies using spouts and bolts. Spouts are sources of data, and bolts are the processing units that apply transformations or analyses to the data. 3. **Low-Latency Processing:** Storm is optimized for low-latency processing, making it suitable for use cases where real-time or near-real-time processing of streaming data is essential. 4. **Stateful Processing:** Storm supports stateful processing, allowing components in the topology to maintain state information across processing instances. **Apache Kafka:** 1. **Distributed Streaming Platform:** Kafka, on the other hand, is a distributed streaming p...