Michael Drogalis (@MichaelDrogalis, Product Manager @Confluentinc) talks about the evolution of Kafka, the challenges of data management with event-driven systems, and the ksqlDB Database.

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SHOW NOTES:

Topic 1 - Welcome to the show. Before we dive into this new database, let’s talk a little bit about your background.

Topic 2 - Let’s first talk about Kafka. What is it,. what does it do, and what are common use-cases that use Kafka?

Topic 3 - Kafka handles all these streams of data / events, but there are a bunch of other pieces needed to connect the data to the applications. What are those pieces, and where are their often challenges?

Topic 4 - Let’s talk about this new project - ksqlDB. It’s real-time, it’s Kafka and it’s SQL. Walk us through how it was created and the types of challenges it solves for.

Topic 5 - How is ksqlDB different from using other SQL databases?

Topic 6 - What are some of the initial ways that you’re seeing ksqlDB being used? Is it beginning to allow new use-cases to emerge?

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ksqlDB Database for Streaming Events

The Enterprise AI Show

ksqlDB Database for Streaming Events