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Upcoming events (1)
Find out about other upcoming online meetups and recordings from past Kafka Meetups all over the world: cnfl.io/meetup-hub
*Time below in Hong Kong time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=1819729&h=1819729&sts=27142080&sln=18-19&a=show
18:00pm-18:05pm: Introduction & Online Networking
18:05pm-18:50pm: Kenneth Cheung, Senior Solutions Engineer, Confluent
Log in to Slack or Join our Forum (https://www.confluent.io/community/ask-the-community) to ask any follow-up questions!
Kenneth Cheung, Senior Solutions Engineer, Confluent
Kenneth Cheung has over 20-year experience in the IT industry. Mission is to help enterprises transform with Digital First strategy. He has been one of the pioneers who brought Real-time Event Streaming, Big Data analytics and Data Discovery solutions to the APAC markets. For the last 10+ years, he has been focusing on educating Greater China markets with a change of the way we do business analysis and has successfully brought Data Discovery into numerous enterprises ranging from Financial Services, Retail and Manufacturing. Largest project touches the hands of over thousands of users in a single enterprise. Prior to Business Analytics, Kenneth has spent over 5 years in the field of Information Security consulting where he secured many enterprises by delivering consultancy and audit services.
Apache Kafka® and the Data Mesh
Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. A kind of “microservices” for the data-centric world. While the data mesh is not technology-specific as a pattern, the building of systems that adopt and implement data mesh principles have a relatively long history under different guises.
In this meet-up, we share our recommendations and picks of what every developer should know about building a streaming data mesh with Kafka. We introduce the four principles of the data mesh: domain-driven decentralization, data as a product, self-service data platform, and federated governance. We then cover topics such as the differences between working with event streams versus centralized approaches and highlight the key characteristics that make streams a great fit for implementing a mesh, such as their ability to capture both real-time and historical data.
Online Meetup Etiquette:
• Please hold your questions until the end of the presentation or use the zoom chat during!
• Please arrive on time as zoom meetings can become locked for many reasons (though if you get locked out a recording will be available, but you may have to wait a little while for it!)
If you would like to speak or host our next event please let us know! [masked]