Michael Drogalis (@MichaelDrogalis, Product Manager @Confluent) talks about the evolution of Kafka, the challenges of data management with event-driven systems, and the kslDB Database.SHOW: 514SHOW SPONSOR LINKS:Datadog Security Monitoring Homepage: Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt.Okta - Safe Identity for customers and workforceTry Okta for FREE (Trial in 10 minutes)CBT Nuggets: Expert IT Training for individuals and teamsSign up for a CBT Nuggets Free Learner account CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW NOTES:Confluent HomepageksqlDB HomepageHow Real-Time Stream Processing Works with ksqlDBHow Real-Time Materialized Views Work with ksqlDBHow Real-Time Stream Processing Safely Scales with ksqlDBTopic 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 kslDB 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?FEEDBACK?Email: show at thecloudcast dot netTwitter: @thecloudcastnet