22-25 April 2026 
SQLBits 2022
ksqlDB - The Real-Time Streaming Database
In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
More and more organizations are moving towards an event-driven, real-time streaming architecture, using Apache Kafka as their streaming backbone. Having event streaming applications allows these organizations to unlock new benefits by combining various data feeds.
However, getting actionable insights in a timely fashion has remained a challenge as to how do you query streaming data? ksqlDB solves this by providing an interactive SQL interface allowing you to, in real-time, query the streaming data, doing aggregations, in essence treating the data as it was data persisted in a database.
This demo-filled session will look at how to:
* execute ksqlDB push/pull queries
* create ksqlDB User Defined Functions
* use table and streams
Feedback link: https://sqlb.it/?7076
However, getting actionable insights in a timely fashion has remained a challenge as to how do you query streaming data? ksqlDB solves this by providing an interactive SQL interface allowing you to, in real-time, query the streaming data, doing aggregations, in essence treating the data as it was data persisted in a database.
This demo-filled session will look at how to:
* execute ksqlDB push/pull queries
* create ksqlDB User Defined Functions
* use table and streams
Feedback link: https://sqlb.it/?7076
Speakers
Niels Berglund's previous sessions
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer
In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
ksqlDB - The Real-Time Streaming Database
In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
Set Your SQL Server Data Free with the Use of Kafka
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.