Master's in Data Analytics Student at Harrisburg University of Science & Technology |
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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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