How to Build Real-Time Apache Kafka® Dashboards That Drive Action

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This post details how to build real-time Apache Kafka dashboards that drive action by leveraging Kafka as an integration hub and stream processing engines like Flink, Kafka Streams, or ksqlDB to create materialized views for immediate consumption by BI tools or custom applications. It emphasizes data modeling for real-time performance, including denormalized schemas and effective Kafka partition strategies, and discusses delivery patterns such as read-optimized views, search-optimized indexes, and app-embedded state using Kafka Streams interactive queries.