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Join Ververica and open-source practitioners in New York for a casual, technical evening dedicated to real-time data processing and Apache Flink®.

This meetup is designed for engineers and architects who want to delve beyond high-level discussions and explore how streaming systems work in practice. The evening will focus on Apache Flink®’s future direction, real-world operational challenges, and hands-on lessons from running streaming systems in production.

Agenda: 18:00–18:30 \| Arrival\, Snacks & Drinks 18:30–18:55 \| Keynote Ben Gamble — Future Shock: Apache Flink® Five Years From Now 18:55–19:20 \| Speaker from an open-source–driven company (Speaker and topic to be announced closer to the event date) 19:20–19:50 \| Technical deep dive Ben Gamble — What No One Tells You About Operating Streaming Systems 19:50–20:30 \| Networking

Meet-up location: WeWork in central New York Exact address will be shared closer to the event date

• Are you interested in learning more about open-source data technologies? ✅
• Do you want to network with local and international tech professionals in a fun, relaxed environment? ✅

Then join us on Feb 8, for an evening full of inspiring conversations and exciting talks by awesome speakers (to be announced!) Date: Feb 8, 2024 Location: WorkHouse NYC 21 W 46th St · New York, NY

Agenda:

• 18:00 - 18:30 Welcome: Networking & snacks
• 18:30 - 18:35 Kickoff: Welcome Aiven
• 18:35 - 19:00 A Guide to Product Experimentation (Erin Mikail Staples, LaunchDarkly)
• 19:00 - 19:30 Building Real-time Pipelines: A Case Study with Transit Data (Tim Spann, Cloudera)
• 19:30 \~ 21:00 Food & networking

A Guide to Product Experimentation Erin Mikail Staples Get ready to embark on a journey into the world of experimentation in software development with Erin’s talk A Guide to Product Experimentation. Discover how feature flags empower teams to control releases, target specific audiences, and conduct A/B testing effortlessly. From ideation to data-driven decision-making, this talk will equip you with the knowledge and tools to drive innovation and enhance user experiences.

Building Real-time Pipelines: A Case Study with Transit Data Tim Spann In this session, we will explore the powerful combination of Apache Flink, Apache NiFi, and Apache Kafka for building real-time data processing pipelines. We will present a case study using the FLaNK-Transit projects, which leverages these technologies to process and analyze real-time data from the New York City Metropolitan Transportation Authority (MTA) and other transit systems like Halifax and Sao Paulo. By integrating Flink, NiFi, and Kafka, FLaNK-Transit projects demonstrate how to efficiently collect, transform, and analyze high-volume data streams, enabling timely insights and decision-making.

* Please note that this is an alcohol-free event. Light bites will be provided. * By attending this event, you agree to abide by our community code of conduct.

**Important** Please complete your registration in this short form. --------------------------------------------------------------------------------------------

We're at StarTree, excited to join forces with our friends at Cloudera, for a meetup that is all about The Latest in Real-Time Analytics: Generative AI and LLM, featuring Apache Pinot and Apache NiFi. Join us for an insightful discussion about cutting-edge analytics, meet the community in person, and catch up over drinks and snacks.

What's the plan ? 05:30-06:00 Pizza and Networking 06:00-06:35 Adding Generative AI to Real-Time Streaming Pipelines \| Tim Spann, Principal Developer Advocate, Cloudera 06:35-07:10 Apache Pinot and Kafka an excellent pairing for refined palates \| Tim Veil, VP of Solutions Engineering and Enablement, StarTree 07:10-07:20 QNA 07:20- 07:30 More Snacks and Networking ;)

**Important**

• Seats are limited
• Please complete your registration in this short form.

Adding Generative AI to Real-Time Streaming Pipelines \| Timothy Spann In this talk, Tim will discuss the basics of real-time streaming, walk through the tools used including Apache NiFi, Apache Kafka and Apache Flink and show how to build a real-time streaming pipeline that sends prompts to LLMs hosted by the likes of Hugging Face, IBM and Cloudera. He will also discuss where real-time data stores like Apache Pinot come into play. He will show a detailed demonstration of a few use cases involving different sources of data including Kafka, Medium Articles and interactive Question and Response in Slack. He will then show you how you can build your own and where areas of growth exist.

Tim Spann is a Principal Developer Advocate in Data In Motion for Cloudera. He works with Apache NiFi, Apache Kafka, Apache Pulsar, Apache Flink, Flink SQL, Apache Pinot, Trino, Apache Iceberg, DeltaLake, Apache Spark, Big Data, IoT, Cloud, AI/DL, machine learning, and deep learning. Tim has over ten years of experience with the IoT, big data, distributed computing, messaging, streaming technologies, and Java programming. Previously, he was a Developer Advocate at StreamNative, Principal DataFlow Field Engineer at Cloudera, a Senior Solutions Engineer at Hortonworks, a Senior Solutions Architect at AirisData, a Senior Field Engineer at Pivotal and a Team Leader at HPE. He blogs for DZone, where he is the Big Data Zone leader, and runs a popular meetup in Princeton & NYC on Big Data, Cloud, IoT, deep learning, streaming, NiFi, the blockchain, and Spark. Tim is a frequent speaker at conferences such as ApacheCon, DeveloperWeek, Pulsar Summit and many more. https://github.com/tspannhw/SpeakerProfile

Apache Pinot and Kafka an excellent pairing for refined palates \| Tim Veil The other Tim, Tim Veil, will dive into the history and architecture of Apache Pinot and share why Pinot is a perfect compliment to streaming technologies like Apache Kafka. If you are a connoisseur of fine technologies you will enjoy this excellent pairing.

Tim is the VP of Solutions Engineering and Enablement at StarTree. He is an avid reader and golfer. He is the father of three girls, two of which are teenagers. As a result he spends most evenings hiding in his room hoping the yelling stops soon.