#Spark Structured Streaming

Explore real-time video analytics acceleration using CPU+FPGA platforms. Learn about performance optimization, latency reduction, and cost-effective solutions for industrial applications like fraud detection and surveillance.

Learn to build real-time applications using Databricks Streaming, focusing on a fire department use case. Explore architecture, data sources, and implementation for live tracking of equipment, personnel, and incidents.

Explore AI-powered streaming analytics for real-time customer engagement. Learn to capture, process, and respond to data from various sources using Spark Structured Streaming for improved customer experiences.

Explore real-time analytics using Apache Spark and Kafka. Learn about streaming methods, overcoming technical challenges, and innovative solutions for handling billions of daily events in a scalable, cost-efficient manner.

Discover how iFood built a real-time feature store using Databricks and Spark Structured Streaming to process event streams, store data, and develop reliable code for efficient machine learning model predictions.

Explore Azure Databricks for advanced analytics: Learn Spark basics, collaboration features, cluster management, and Azure integration through a detailed network intrusion anomaly detection pipeline walkthrough.