How does Apache Kafka complement Hadoop in building robust, scalable data pipelines?
- By Enabling Stream Processing
- By Managing Hadoop Clusters
- By Offering Batch Processing
- By Providing Data Storage
Apache Kafka complements Hadoop by enabling stream processing. Kafka serves as a distributed, fault-tolerant messaging system that allows seamless ingestion and processing of real-time data, making it an ideal component for building robust and scalable data pipelines alongside Hadoop.
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