IN PERSON! Apache Kafka® Meetup Mumbai- May 2024

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on May 25th from 10:30 am, hosted by Let's Upgrade and Made in Mumbai.

📍 Venue:
ITM Institute of Design and Media

Floor 1, Suvidha Square, Junction of Ceaser Road, Swami Vivekananda Rd, Andheri West, 400058, India
View map

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Agenda:

• 10:30- 11:00: Registration & Introduction
• 11:00- 11:45: Jayesh Asrani, Solutions Architect, StarTree
• 11:45- 12:30: Diptiman Raichaudhuri, Staff Developer Advocate, Confluent
• 12:30- 13:30: Lunch

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💡 Speaker:
Jayesh Asrani, Solutions Architect, StarTree

Talk:
From Events to Insights : Building Real-Time Analytics Systems

Abstract:
Building User Facing Real-Time Analytics Systems is hard. Apache Kafka is the de facto standard for real-time event streaming, but what do you do if you want to perform user-facing, ad-hoc, real-time analytics too? Since most OLAP systems are not designed to analyse data streams in real time with millisecond latencies required for any user-facing application. Apache Pinot solves it, and the two together are like chocolate and peanut butter, peaches and cream.
During this session

1. We will explore how pioneers in the streaming world like Linkedin , Uber are solving this problem.
2. Introduction to Apache Pinot , and deep dive into Pinot Architecture
3. Delve into what makes Apache Pinot fastest OLAP by peeking under the hoods of the query engine
4. An action-packed demo, showing just how easy it is to go from events to blazing-fast analytics, and how to use powerful features of both systems that help you do this at scale.

You will walk away with a solid understanding of the challenges unique to a user-facing real time analytics system, and how Pinot and Kafka work harmoniously to solve them and how easy* it is to go from events to insights

Bio:
Jayesh Asrani , Solutions Architect StarTree , helping customers achieve their real-time analytics goals prior to this he worked in field engineering for startups in Data Engineering, Integration and Data Science space.

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💡 Speaker:
Diptiman Raichaudhuri, Staff Developer Advocate, Confluent

Talk:
Stream Processing for the non-JVM world: pyflink and kafka-python

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.

Bio:
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) and AI(torch,sagemaker,vertex ai,kubeflow) 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