abdullahmu / data-streaming-nanodegree-project_02-evaluate-human-balance-with-spark-streaming Goto Github PK

Design data streaming architecture and API for a real-life application called the Step Trending Electronic Data Interface (STEDI). It is a working application used to assess fall risk for seniors. When a senior takes a test, they are scored using an index which reflects the likelihood of falling, and potentially sustaining an injury in the course of walking. STEDI uses a Redis datastore for risk score and other data. The Data Science team has completed a working graph for population risk at a STEDI clinic. The problem is the data is not populated yet. You will work with Kafka Connect Redis Source events and Business Events to create a Kafka topic containing anonymized risk scores of seniors in the clinic.

Home Page: https://www.udacity.com/course/data-streaming-nanodegree--nd029