Using Julia as Part of an Anomaly Detection Pipeline

Explore how Julia can be integrated into an Anomaly Detection pipeline in this 32-minute conference talk from JuliaCon 2024. Discover Julia's strengths in analyzing columnar and temporal data, and learn about its packages for regression analysis, hypothesis testing, and signal processing. Gain insights into how Data Scientists utilize Julia for data analysis and algorithm development, and see how these algorithms can be operationalized into real-time data pipelines. Understand how Julia complements Java-based web applications for data collection and alerting, allowing development teams to focus on business logic and data pipelines.