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Explore how to build real-time customer-facing analytics infrastructure that delivers sub-second query performance and eliminates data processing bottlenecks in this 29-minute conference talk. Discover the critical requirements for competitive customer-facing analytics and learn how Apache Pulsar and StarRocks overcome common challenges including slow queries, unpredictable latency, and complex data pipelines that lead to increased churn rates and unnecessary infrastructure spending. Examine real-world implementations from industry leaders like Naver, Pinterest, and Demandbase who successfully transformed their analytics capabilities by enabling real-time upserts, simplified stream processing, and cost-effective data management. Understand why customer-facing analytics on open formats represents the future of data architecture, with lakehouses removing pipeline complexity while improving performance and ensuring a single source of truth. Gain practical insights into strategies for optimizing costs, enhancing user experience, and accelerating business growth through modern real-time analytics infrastructure that keeps your organization ahead of the competition.
