Event Stream Processing Software Resources

Mostly a month or two if you have knowledge of Rest API, Queues etc. as concept.

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They do workflow automation and ETL I think.

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It used this Mnemonic to remember what kafka is and what it is used for - S - Stream Data in Real-Time: Handles and processes live data (e.g., Uber car locations). T - Transport Between Producers & Consumers: Acts as a middleman, connecting data senders (producers) and receivers (consumers). R - Reuse Data Across Systems: Allows multiple consumers (fare calculator, notifications, analytics) to use the same data efficiently. E - Efficient and Scalable: Handles massive data (like 1 lakh events/second) without bottlenecks, and scales as needed. A - Asynchronous Processing: Producers send data without waiting for consumers to finish processing. M - Maintain Data Safely: Ensures no data is lost, even during system crashes (fault-tolerant and durable)

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