Intro to Apache Kafka® and Stream Processing using Apache Flink®

Hello everyone! Join us for our first IN PERSON Apache Kafka® x Apache Flink® meetup on September 21st from 11:00 am, hosted by Indus Net in Kolkata!

📍 Venue:
Indus Net
1st Floor (Module 209), SDF Building Saltlake Electronic Complex, Kolkata, West Bengal 700091

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Agenda:

• 11:00 AM - 11:15 AM: Introduction & Welcome
• 11:15 AM - 12:00 PM: Introduction to Apache Kafka - How to stream real-time data
• 12:00 PM - 12:15 PM: Break
• 12:15 PM - 1:00 PM: Stream Processing using Apache Flink
• 1:00 PM - 2:00 PM : Lunch and Networking

If you would like to speak at or host a meetup please let us know! community@confluent.io

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💡 Speaker:
Diptiman Raichaudhuri, Staff Developer Advocate, Confluent

Talk:
Session 1: Introduction to Apache Kafka - How to stream real-time data - 45 mins

1. Kafka Producer Internals
2. Kafka Consumer Internals
3. Kafka Broker Architecture
4. Abstract: This session would gently introduce engineers to Apache Kafka architecture. It will break down components within a Kafka application and dive deeper into brokers, producers and consumers. This session will also have a quick demo of how to tie things together for a Kafka application.

Session 2: Stream Processing using Apache Flink - 45 mins

1. Introduction to Flink
2. Pyflink Table API
3. Flink SQL
4. Flink AI and future trends
5. Abstract: This session explains the need for a unified stream processing engine and explains the architectural pillars of Apache Flink. The session would also throw light on ‘modern Data Platforms’ and how Kafka and Flink are fuelling manufacturing use cases. For a non-JVM user, this is the best time to explore these frameworks using popular languages like python. This session will also touch upon frontiers in Flink development and how Flink can be integrated with AI and modern LLMs.

Bio:
Diptiman is a well-known face in Calcutta ! Currently, a Staff Developer Advocate at Confluent, ex-AWS Data Analytics Specialist, ex-Google Cloud - Data platform specialist. Designed and implemented ‘Modern Data Platform’ for large scale enterprise use cases. Worked at the intersection of Data(Spark, Flink, Kafka, Kinesis, Redshift, Iceberg, Glue, Hive, Neo4j, Neptune) and AI(torch,sagemaker,vertex ai,kubeflow, LLMs) at cloud scale (AWS and Google Cloud).

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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