Kafka, KSQL

Please use the eventbrite page to register for this event.
https://www.eventbrite.com.au/e/ksql-for-apache-kafka-presented-by-nick-dearden-from-confluent-tickets-39679226635

Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Networking, Pizza, and Drinks
6:30pm - 7:15pm: Presentation #1: KSQL, Nick Dearden, Confluent
7:15pm - 8:00pm: Presentation #2: How to use Apache Kafka to transform a batch pipeline into a real-time one?, Stephane Maarek, Simple Machines
8:00pm - 8:30pm: Additional Q&A and Networking

About the Speaker: Nick Dearden
Nick is a technology and product leader at Confluent, where he enjoys leveraging many years of experience in the world of data and analytic systems to help design and explain the power of a streaming platform for every business. Prior to Confluent, he led the data platform group for a leading online real-estate seller and was chief architect for a cloud-based financial analytics platform. His early career stretches all the way back through multiple data warehouse and business intelligence adventures to the green-screen days of mainframe banking systems.
KSQL
KSQL is an open source streaming SQL engine for Apache Kafka. Come hear how KSQL makes it easy to get started with a wide-range of stream processing problems such as real-time ETL, sessionization, monitoring and alerting, or fraud detection. We'll cover both how to get started with KSQL and some under-the-hood details of how it all works.

About the Speaker: Stephane Maarek
Stephane is an engineer impassioned by all things relating to big and fast data. Stephane is an Apache Kafka subject matter expert at Simple Machines, has authored several blog posts in partnership with Confluent, and is a best-selling instructor on Udemy for his courses on Apache Kafka, Apache NiFi and AWS Lambda.
How to use Apache Kafka to transform a batch pipeline into a real-time one?
Apache Kafka has real-time capability and everyone knows that! The real challenge facing engineers comes from re-designing the existing data pipelines from batch to real-time. In this talk, we will do a case study on how to build an end-to-end real-time data pipeline by building four micro-services on top of Apache Kafka. It will give you insights into the Kafka Producer API, Avro and the Confluent Schema Registry, the Kafka Streams High-Level DSL, and Kafka Connect Sinks.