Percona Live Online

Why store when you can stream? Modern open source streaming platforms like Apache Kafka provide means of storing and processing event driven data. When combined with streaming analytics projects like Apache Flink, many business applications, and event driven microservices may not even need a database storage layer. With the rise of streaming SQL engines, in particular FlinkSQL, developers with SQL and database skills can use these to build complex event processing and advanced analytics applications. There are performance advantages to being able to run queries before data lands in a database. However, full solutions often need long term storage as well for regulatory purposes, forensic purposes or to train machine learning to work better in the stream. This talk will cover new approaches to data architecture, how it ts in to existing event and traditional database applications, and provides practical examples, and approaches to operating systems built on streaming on cloud, using open source