What we're about

New to Apache Kafka®? Start with these free resources: https://cnfl.io/learn-ak-mu

This is an open community - if you want to present, host or contribute in other ways follow this link (http://cnfl.io/get-involved-mu (https://www.confluent.io/community/get-involved/)) - first time speakers welcome!

This meetup is for your fellow event streaming enthusiasts!

The topics discussed at our events are all about event streaming, including Confluent Platform, Confluent Cloud, Apache Kafka®, Kafka Connect, streaming data pipelines, ksqlDB, Kafka Streams as well as stream processing, Security, Microservices and a lot more!!

Code of conduct: https://cnfl.io/code-of-conduct-welcome

Beyond this group, we also have the following resources to help you learn and develop your skills! See them here:

*The Meetup Hub*

Find recordings of previous meetups around the world and see upcoming dates for many more at the Meetup Hub


*Ask The Community:*


This is a place for all the community to ask the tough questions, share knowledge and win badges :D http://cnfl.io/forum-desc


Join tens of thousands of community members in this community cross-collaboration tool, exchanging thousands of messages every month:


*Confluent Community Catalysts*

Nominate the next Community Catalysts (MVPs) and find out more here:


*Confluent Training and Certification discounts!*

Learn Apache Kafka® and become Confluent Certified (with 20% off your certification exam with the code MU2021CERT): https://cnfl.io/train-cert


Also here’s a gift: Get $200 worth of free Confluent Cloud usage every month for your first 3 months; (that could be $600 worth, without spending a single penny) (Ts & Cs apply) http://cnfl.io/mu-try-cloud

If you’re already a user, you can get an extra $60 on top with the code: CC60COMM

Head to http://cnfl.io/get-involved-mu if you have any questions, ideas, concerns or if you want to contribute in some way!

Apache Kafka®, Kafka, and associated open source project names are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided here or at any of our Meetups.

Upcoming events (1)

Master Data Management challenges, Detect Anomalies and Transform Event Streams

Find out about other upcoming online meetups and recordings from past Kafka Meetups all over the world: cnfl.io/meetup-hub


*Time below in Canberra time - to find out when the event is in your timezone follow this link: http://www.worldtimebuddy.com/event?lid=2172517&h=2172517&sts=27213960&sln=16.5-18&a=show

16:30pm-16:35pm: Introduction & Online Networking
16:35pm-17:05pm: Coran Stow, Solutions Architect, Confluent
17:05pm-17:35pm: Johnny Mirza, Senior Solutions Engineer, Confluent
17:35pm: Q&A
Have follow-up questions afterward? Log in to Slack or Join our Forum (https://www.confluent.io/community/ask-the-community) to ask any follow-up questions!

Talk 1-

Coran Stow, Solutions Architect, Confluent

Coran is a technically-minded solutions architect who likes making technology work to solve customer problems. He's spent the last decade delivering Master Data Management and other Information Management solutions to clients in the Government, FInancial and Healthcare industries in Australia and the region.

Applying Kafka to Master Data Management challenges

As soon as organisations have more than one system they are challenged with keeping their data consistent between systems. What if they have dozens of systems? What if they have a mix of bespoke, COTS, distributed, centralised, on-prem and cloud-based systems to keep their data consistent between? How can Kafka help solve this challenge?

Talk 2-

Johnny Mirza, Senior Solutions Engineer, Confluent

Johnny has a strong technical background supporting the Telco, Media, Insurance and Transport industry verticals. Johnny comes from a pre-sales solutions engineering background and has a passion for architectures of public cloud and on-premise infrastructure, service assurance and monitoring platforms, and working with open source technologies.

Detecting Anomalies and Transforming Event Streams with Data in Motion

In this webinar we’ll look at how stream-processing can be used to perform real-time anomaly detection in streaming event data. Organisations can use stream-processing to detect potentially fraudulent transactions and activities, and SIEM teams can curate and detect patterns in security and event-log 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!)

Important note: If Zoom asks for a password to join please use 'kafka'


If you would like to speak or host our next event please let us know! [masked]

Photos (3)

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