Accelerating Real-Time Video Analytics on a Heterogeneous CPU and FPGA Platform
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.
Build Real-Time Applications with Databricks Streaming - Fire Department Use Case
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.
AI-Powered Streaming Analytics for Real-Time Customer Experience
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.
Different Streaming Methods with Apache Spark and Kafka
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.
Building a Real-Time Feature Store for Machine Learning at iFood
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.
Building Advance Analytics Pipelines with Azure Databricks
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.