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IN PERSON! Apache Kafka® 101

Photo of Alice Richardson
Hosted By
Alice R.
IN PERSON! Apache Kafka® 101

Details

Hello everyone! Join us for our first IN PERSON Apache Kafka® meetup on June 15th from 9:30am hosted by Infinite Lambda!

📍 Venue:
Infinite Lambda Office

6th floor, ABTEL TOWER, 36 Phan Dang Luu Street
Ward 6, Binh Thanh District
Ho Chi Minh City, Vietnam

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🗓 Agenda:

  • 9:30AM - 10:15AM: Kafka 101 - Rishab Sachdeva, Advisory Solutions Engineer, Confluent
  • 10:15AM - 10:30AM: Q&A
  • 10:30AM - 11:00AM: Networking

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💡 Speaker:
Rishab Sachdeva, Advisory Solutions Engineer, Confluent

Talk:
Kafka 101

Abstract:
Apache Kafka is an event streaming platform used to collect, process, store, and integrate data at scale. It has numerous use cases including distributed logging, stream processing, data integration, and pub/sub messaging.
In order to make complete sense of what Kafka does, we'll delve into what an "event streaming platform" is and how it works. So before delving into Kafka architecture or its core components, let's discuss what an event is. This will help explain how Kafka stores events, how to get events in and out of the system, and how to analyze event streams.

Bio:
Rishab has been working with Confluent for more than an year as a Solutions Engineer. He works with customers across industry verticals and enjoy learning about their experiences with data management and the plans ahead.

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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.
As the classroom is a mask-on setting, please be reminded that masks should still be worn at all times unless actively eating or drinking
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

Photo of Ho Chi Minh City Apache Kafka® Meetup by Confluent group
Ho Chi Minh City Apache Kafka® Meetup by Confluent
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