KSQL is a game-changer not only for application developers but also for non-technical business users. How? The SQL interface opens up access to Kafka data to analytics platforms based on SQL. Business analysts who are accustomed to non-coding, drag-and-drop interfaces can now apply their analytical skills to Kafka. So instead of continually building new analytics outputs due to evolving business requirements, IT teams can hand a comprehensive analytics interface directly to the business analysts. Analysts get a self-service environment where they can independently build dashboards and applications.
Arcadia Data is a Confluent partner that is leading the charge for integrating visual analytics and BI technology directly with KSQL. We’ve been working to combine our existing analytics stack with KSQL to provide a platform that requires no complicated new skills for your analysts to visualize streaming data. Just as they will create semantic layers, build dashboards, and deploy analytical applications on batch data, they can now do the same on streaming data. Real-time analytics and visualizations for business users have largely been a misnomer until now. For example, some architectures enabled visualizations for end users by staging Kafka data into a separate data store, which added latency. KSQL removes that latency to let business users see the most recent data directly in Kafka and react immediately.
Click through for a couple repos and demos.