Why SQL?

While SQL is a simple declarative language, it can be used in very advanced ways when querying streams of data on Kafka - in this talk Kenny will discuss techniques like advanced time specification, complex event processing (CEP), unifying sparse events, restart from failure, and even using Kafka metadata like message size.He will deep dive into how schema management, data serialization formats, Apache Flink and SQL all work together to successfully process data. He will cover advanced SQL techniques, architecture, recovery and scalability strategies from a full stack point of view. Attendees will see a demo of end-to-end processing pipeline showing features and capabilities of SQL Stream Builder that show new powerful capabilities within the SQL engine itself. They will leave well versed in rich techniques for processing data with SQL at scale and gain new tips and tricks to use in their day to day work.