An Introduction to KSQL & Kafka Streams Processing with Ticketmaster
Dani Traphagen, Sr. Systems Engineer, Confluent + Chris Smith, VP Engineering Data Science, Ticketmaster
About this talk
In this all too fabulous talk with Ticketmaster, we will be addressing the wonderful and new wonders of KSQL vs. KStreams.
If you are new-ish to Apache Kafka® you may ask yourself, “What is a large Apache Kafka deployment?” And you may tell yourself, “This is not my beautiful KSQL use case!” And you may tell yourself, “This is not my beautiful KStreams use case!” And you may ask yourself, “What is a beautiful Apache Kafka use case?” And you may ask yourself, “Am I right about this architecture? Am I wrong?” And you may say to yourself, “My God! What have I done?”
In this session, we’re going to delve into all these issues and more with Chris Smith, VP of Engineering Data Science at Ticketmaster.
Watch now to learn:
-Ticketmaster Apache Kafka Architecture
-KSQL Architecture and Use Cases
-KSQL Performance Considerations
-When to KSQL and When to Live the KStream
-How Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products
Confluent is building the foundational platform for data in motion. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.…