How does Apache Kafka ensure fault tolerance and scalability in data streaming for Hive?
- Distributed architecture
- Dynamic partitioning of topics
- Real-time data processing capabilities
- Replication of data across brokers
Apache Kafka ensures fault tolerance and scalability in data streaming for Hive through its distributed architecture, replication of data across brokers, dynamic partitioning of topics, and real-time data processing capabilities, enabling reliable and scalable ingestion and analysis of streaming data in Hive.
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