Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for analysis/decision-making. Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This […]

When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The […]

Apache Kafka stands as a robust distributed streaming platform. However, like any system, it is imperative to proficiently oversee and control latency for optimal performance. Kafka Consumer Lag refers to […]

Although both Apache Druid and Apache Kafka are potent open-source data processing tools, they have diverse uses. While Druid is a high-performance, column-store, real-time analytical database, Kafka is a distributed […]

A real-time analytics database called Apache Druid is developed for quick slice-and-dice analysis on massive data volumes. The best data for Apache Druid is event-oriented and frequently utilized as the […]