Empowering Real-Time Data With Apache Kafka®, Apache Flink® & Apache Pinot™️

Hello Streamers!

Join us for an IN PERSON Apache Kafka® meetup on Tuesday, October 8th from 5:30 pm, hosted by our friends at SeatGeek!

*******VERY IMPORTANT*******Please complete the form below for entry to the venue site.
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📍 Venue:
SeatGeek
902 Broadway
10th Floor
New York, NY 10010
Getting to SeatGeek office: Guests to take the elevator to arrive at Floor 10 (SeatGeek office)
Check-in: pick up name tags

***🗓 Agenda:

5:30pm: Doors Open; Meet’n’Greet

6:00pm - 6:10pm: Welcome | House Rules (if any) | SeatGeek Intro

6:10pm - 6:40pm: Empowering Real-Time Data: How SeatGeek Transformed Data Distribution, Sab Natarajan, Senior Data Platform Engineer at SeatGeek and Bosco Han,Data Engineer at SeatGeek

6:40pm - 7:10pm:Real Time Processing with Flink at Intuit, Pratti Deb, Software Engineer at Intuit and Kushal Gohil at Intuit

7:10pm - 7:40pm: Uncorking Real-Time Analytics with Apache Kafka®, Apache Flink, and Apache Pinot™️,Viktor Gamov, Principal Developer Advocate @Confluent

7:40pm - 7:45pm: Closing Remarks

7:45pm - 8:30pm: Q&A and Networking

***
💡 First round of speakers:
Sab Natarajan, Senior Data Platform Engineer at SeatGeek and Bosco Han**,** Data Engineer at SeatGeek

Title of Talk:
Empowering Real-Time Data: How SeatGeek Transformed Data Distribution

Abstract:
Real-time data is crucial in the live events industry. As line-ups are decided, and on-sales are announced, the companies that react swiftly to real-time data often capture the market. Discover how SeatGeek transformed its data stack to be more real-time, performant, and developer-centric, as it applies a modern twist on a proven approach.

In this talk, learn how Sab Natarajan and Bosco Han introduce a new approach to distributing data across the organization. Learn how the transactional outbox pattern, Debezium, and the Apache Kafka ecosystem are used to power reliable and modern data applications. Ideal for those interested in data engineering, event-driven architecture, and enhancing developer experiences.

💡 Second Round of Speakers:
Pratti Deb, Software Engineer at Intuit and Kushal Gohil at Intuit

Title of Talk:
Real Time Processing with Flink at Intuit

Abstract:
Discover how Intuit utilizes Apache Flink to build its innovative Streaming Platform, which enables users to generate real-time insights and powers use cases like - experimentation, personalization and clickstream analytics. We will walk you through Intuit's journey of building this state-of-the-art platform

💡 Speaker Three:
Viktor Gamov, Principal Developer Advocate @Confluent

Title of Talk:
Uncorking Real-Time Analytics with Apache Kafka®, Apache Flink, and Apache Pinot™️

Abstract:
In a world where real-time insights can make or break a business, transforming massive data streams into immediate, actionable intelligence is crucial. This is where the powerhouse trio of Apache Kafka, Apache Flink, and Apache Pinot™️comes in, offering a solution to this pressing need.

Under the guidance of Viktor Gamov, a principal developer advocate at Confluent, embark on an exhilarating journey to unlock the secrets of high-performance real-time analytics.
• The Dynamic Trio: Get acquainted with Kafka, Flink, and Pinot—understand their core functionalities and how they seamlessly work together to deliver lightning-fast analytics.
• Mastering Batch Data with Pinot: Learn how to efficiently ingest and query static data in Apache Pinot to extract valuable insights without delay.
• Streaming Integration with Kafka and Pinot: Discover how to enrich your analytics by integrating streaming data from Kafka into Pinot, blending real-time and batch data for a comprehensive view.
• Optimizing Your Analytics Pipeline: Uncover strategies for deciding what processing should happen in Flink versus Pinot to maximize performance and efficiency.

Through real-world examples and practical demonstrations, Viktor will equip you with the skills to set up robust data pipelines capable of handling massive data volumes easily. You can implement these technologies in your own applications, delivering real-time analytics like never before.

***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 drinkingNOTE: We are unable to cater for any attendees under the age of 18.