Apache Spark 2.0 introduced Structured Streaming which allows users to continually and incrementally update your view of the world as new data arrives while still using the same familiar Spark SQL abstractions. Michael Armbrust from Databricks talks about the progress made since the release of Spark 2.0 on robustness, latency, expressiveness and observability, using examples of production end-to-end continuous applications. Speaker: Michael Armbrust Video: http://go.databricks.com/videos/spark-summit-east-2017/using-structured-streaming-apache-spark This talk was originally presented at Spark Summit East 2017.