Building Metrics Store with Incremental Processing

Explore a conference talk that delves into Instacart's innovative solution for overcoming traditional BI challenges through a business metrics store with incremental processing. Learn how this approach decouples analytic logic from BI reporting and visualization, offering enhanced efficiency, reliability, and cost-effectiveness for robust business analytics. Gain valuable insights from a case study demonstrating the architecture's application in supporting large-scale ads experiment analysis. Discover the design principles of a metrics store that facilitates reuse across BI and operational applications, practical insights into incremental processing with DBX structured streaming, and future enhancements utilizing Databricks Unity Catalog and Lakehouse Monitoring. Presented by Hang Li, Senior Software Engineer II at Instacart, this 18-minute talk provides key takeaways for data professionals seeking to optimize their analytical processes and overcome scalability and maintenance challenges in traditional BI solutions.

Building Metrics Store with Incremental Processing