IN PERSON! Apache Kafka® Meetup Gurgaon- Sep 2024

Hello everyone! Join us for an IN PERSON Apache Kafka® meetup on Sep 28th from 11:00 am, hosted by 1mg in Gurgaon!

📍 Venue:
415/2, Motorola Excellence Centre, Mehrauli-Gurgaon Rd, DLF Colony, Sector 14, Gurugram, Haryana 122001

2nd floor

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Agenda:

• 11:00am - 11:10am: Registration & Welcome
• 11:10am - 11:50am: Harsh Gulati
• 11:50am - 12:30pm : Afzal Mazhar, Software Practice Lead, Confluent
• 12:30pm - 13:30pm: Lunch

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

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💡 Speaker:
Harsh Gulati

Talk:
Harnessing AI for Real-Time Data Streaming with Apache Kafka

Abstract:
The talk will explore how to leverage Artificial Intelligence (AI) in conjunction with Apache Kafka to build intelligent, real-time data streaming solutions. I will cover the integration of machine learning models into Kafka-based architectures to enable predictive analytics, anomaly detection, and real-time decision-making at scale. Attendees will gain insights into how AI can enhance data streaming pipelines, improve processing efficiency, and unlock new possibilities for data-driven automation.

Bio:
TBC

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💡 Speaker:
Afzal Mazhar, Software Practice Lead, Confluent

Talk:
A survey of fake data generation tools for data streaming applications: stop writing your own

Abstract:
Dummy data is commonly used for testing applications. For small, functional tests, developers can quickly and easily mock up something close to what they expect. When it comes to data streaming applications, however, generating realistic streams of data that test all the functionality in an application means choosing from one of a crop of data stream generating tools, each with their own nuances, strengths, and limitations. So how does one choose?

In this session, you’ll first be introduced to the tools available to you for generating streams of data, such as Faker, kafka-connect-datagen, and the built in Kafka producer and consumer perf test clients. We’ll take stock of the different parameters you can tweak for each, like number of connections, requests, and messages. We will examine how well they synthesize data given a schema as well as their ability to generate data in specified traffic patterns. Then, we’ll dive in and explore the types of use cases where each of these technologies excel, going far beyond simply generating data for a test case. You’ll learn which tools are best for performance or load testing, if they can handle generating bursts of pseudo-random data to simulate specific traffic needs, and which ones synthesize data closer to your actual data streams.

By the end of the talk, you’ll have a good understanding of the current generation of tools for data stream generation and know how to best leverage them for your specific use case.

Bio:
Afzal Mazhar is a technologist with a passion for helping developers solve complex problems. His extensive experience allows him to appreciate the challenges being faced and provide the right insight to get things done. He has worked in finance, big data, medical informatics and nuclear medicine; his current passion is leveraging data for social good.

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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