A Continuous Application is an end-to-end application that reacts to data in real-time. But it is more than a typical event-based streaming app. Continuous applications capture input streams, blend them when static/offline data and sometimes apply machine learning to the combined data before serving the results back out. These modern applications support quick ad-hoc queries along with long running batch queries.

In today's session Sameer and Jules from the Evangelism team at Databricks will show you how to build a continuous application using a single API. Apache Spark 2.0 provides a high-level API to easily combine SQL, DataFrames, Streaming, Machine Learning and Graph Processing. Through hands on coding sessions and using demo prototype code, we will show you how a small team or single developer can build these sophisticated modern applications.