This document discusses fast data for fitness applications using real-time health sensor data. It describes various data sources like heart rate, temperature, and GPS that can be ingested from sensors. It then outlines a data pipeline for fitness applications using technologies like Apache Kafka, Cloudera Flow, streaming analytics, and edge computing. This pipeline collects data from devices and sensors, processes it using tools like SQL and analytics, and delivers it to cloud and edge systems for applications.