Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how Community Brands engineered Nucleus, their cutting-edge analytics platform, in this 47-minute talk from Confluent. Explore the architecture and design principles behind a real-time, user-facing analytics application that meets demanding requirements such as sub-two-second data latency, sub-second query latency, and a fully mutable database. Learn how the team leveraged Confluent's cloud-native service for Apache Kafka, Apache Flink, Rockset, and transactional databases to create a fully managed cloud architecture that significantly reduced operational overhead. Gain insights into implementing change data capture (CDC) streams for real-time analytics and understand the strategies employed to build new data products with increased speed and agility. Ideal for developers, data engineers, and architects interested in constructing high-performance, real-time analytics platforms for member-based organizations, nonprofits, and educational institutions.