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Hello everyone! Join us for an Apache Kafka® meetup on May 29th from 5:30pm, hosted by Mantel Group in Sydney!

The address, agenda, and speaker information can be found below. See you there!

📍Venue: Mantel Group
Level 21, 580 George St, Sydney NSW 2000

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🗓 Agenda:

  • 5:30pm: Doors open
  • 5:30pm - 6:00pm: Pizza, Drinks, and Networking
  • 6:00pm - 6:30pm: Jun Rao, Co-Founder, Confluent
  • 6:30pm - 7:00pm: Simon Aubury, Principal Data Engineer at Thoughtworks
  • 7:00pm - 7:30pm: Additional Q&A & Networking

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💡 Speaker:
Jun Rao, Co-Founder, Confluent

Bio:
Jun Rao is co-founder of Confluent, a company that provides an event streaming platform based on Apache Kafka. Before Confluent, Jun Rao was a senior staff engineer at LinkedIn where he led the development of Kafka. Before LinkedIn, Jun Rao was a researcher at IBM's Almaden research center, where he conducted research on database and distributed systems. Jun Rao is a committer of Apache Kafka and Apache Cassandra. He is the co-author of more than 20 referenced research papers, and the co-inventor of more than a dozen U.S. software patents.

Talk:
Tiered Storage in Apache Kafka

Abstract:
Kafka is becoming the standard for data in motion. Many places are using managed Kafka service in the Cloud. This requires a new architecture that's Cloud native. In this talk, I will introduce tiered storage in Apache Kafka. It separates the computation and the storage need on the broker. I will explain how this new architecture provides much better elasticity, lower cost, and better performance.

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💡 Speaker:
Simon Aubury, Principal Data Engineer at Thoughtworks

Bio:
Simon Aubury is a Principal Data Engineer at Thoughtworks Sydney. Simon describes his job to his children as being a “data geek”. Although it doesn’t impress his kids, he is proud to have worked around the globe building highly available distributed data systems for finance, transport, health care, insurance, retail and telecommunications clients. Simon’s current passion is working with streaming technologies and data mesh architecture

Talk:
Exploring Mastodon user behaviour with Kafka & DuckDB

Abstract:
Mastodon is a decentralized social networking platform. Users are members of a specific Mastodon instance, and servers are capable of joining other servers to form a federated social network. To understand user behaviour in a distributed data system - you need a distributed data processing system! Let's look at how Apache Kafka, DuckDB and Seaborn are used to understand behaviour and trends from a distributed analysis of a federated social network.

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DISCLAIMER
BY ATTENDING THIS EVENT IN PERSON, you acknowledge that risk includes possible exposure to and illness from infectious diseases including COVID-19, and accept responsibility for this, if it occurs.
NOTE: We are unable to cater for any attendees under the age of 18.

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If you would like to speak or host our next event please let us know! community@confluent.io

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