Real-time data streaming has become essential for modern businesses to respond quickly to market changes and improve decision-making processes, which is vital in industries such as e-commerce and security monitoring. The tutorial illustrates how to build a real-time streaming data analytics system using Redpanda and Rockset. It guides users through setting up a streaming data pipeline for an on-demand delivery service, starting from data generation in a Golang application to streaming with Redpanda, transporting data via Kafka Connect, and conducting real-time analysis with Rockset. It details the configuration steps needed to integrate these technologies, create a Rockset collection using its RESTful API, and query the data using SQL to analyze delivery requests and revenue by state. The tutorial emphasizes the benefits of real-time data processing, enabling businesses to allocate resources efficiently and respond promptly to events, showcasing the integration's potential with further exploration encouraged through available resources and community support.