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What are advantages of using Apache Kafka in real-time data processing? | Data Engineer Interview
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Question: What are the advantages of using Apache Kafka in real-time data processing?
Answer: Apache Kafka is ideal for real-time data streaming because of its high throughput, fault tolerance, and scalability. In a Smart City AWS project, I used Kafka to ingest real-time car data, which was processed using AWS Athena and stored in Redshift. Kafka enabled us to manage the high volume of continuous data streams reliably, ensuring low-latency data ingestion and real-time analytics.
Answer: Apache Kafka is ideal for real-time data streaming because of its high throughput, fault tolerance, and scalability. In a Smart City AWS project, I used Kafka to ingest real-time car data, which was processed using AWS Athena and stored in Redshift. Kafka enabled us to manage the high volume of continuous data streams reliably, ensuring low-latency data ingestion and real-time analytics.