For a Java-based Hadoop application requiring high-speed data processing, which combination of tools and frameworks would be most effective?
- Apache Flink with HBase
- Apache Hadoop with Apache Storm
- Apache Hadoop with MapReduce
- Apache Spark with Apache Kafka
For high-speed data processing in a Java-based Hadoop application, the combination of Apache Spark with Apache Kafka is most effective. Spark provides fast in-memory data processing, and Kafka ensures high-throughput, fault-tolerant data streaming.
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