Introduction to Stream Processing with Apache Kafka®

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🗓 Agenda:

• 18:00pm-18:05pm: Introduction & Online Networking
• 18:05pm-18:50pm: Krishna Agarwal, Senior Software Engineer, Confluent
• 18:50pm: 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!

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💡 Speaker:
Krishna Agarwal, Senior Software Engineer, Confluent

Bio:
Krishna Agarwal is an experienced IT professional with a background spanning 6 years in the industry. He holds a degree from IIIT-Allahabad.
His professional journey commenced at Cisco, where he contributed to the nxos security team.
Subsequently, he joined Sumo Logic, where he played a pivotal role in the Data Collection team. He was responsible for overseeing a highly available, multi-tenant, distributed log, and metrics ingestion pipeline. Working in such a dynamic environment allowed him to sharpen his skills in handling large-scale data infrastructure and ensuring seamless data flow.
Currently, he is proud to be a part of Confluent where he contributes to the development and advancement of the Confluent Platform

Title:
Introduction to Stream Processing with Apache Kafka®

Abstract:
In this session on Kafka Streams, we will explore the power and versatility of Apache Kafka's stream processing library. Kafka Streams provides a seamless and scalable way to process and analyze real-time data streams, enabling developers to build robust and efficient stream processing applications.

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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'

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