What feature of Apache Kafka allows it to handle high-throughput data streaming in Hadoop environments?
- Data Serialization
- Producer-Consumer Model
- Stream Replication
- Topic Partitioning
Apache Kafka handles high-throughput data streaming through the feature of topic partitioning. This allows Kafka to divide and parallelize the processing of data across multiple partitions, enabling scalability and efficient data streaming in Hadoop environments.
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