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Calling all Spark enthusiasts in NYC! ​We’re excited to announce another in-person Spark meetup right here in New York City! 🎉

​Join us for an evening packed with technical talks, real-world insights, and great conversations about different ways to deploy Spark. ​Join us as we bring together top Spark experts and real-world practitioners to dive into insights, share best practices, and network with the community shaping the future of big data.

​Space is limited, so RSVP soon to grab your spot:

https://luma.com/1ciohwxl?tk=gFeBc0

​5:30 PM – Mingling, name tags, pizzas and beers 6:00 PM – Meetup begins • Kickoff, intros, and logistics

•Preet Mehta, Manager Healthcare Analytics at EXL – "Implementing Medallion Architecture and Unified Data Quality Framework in Databricks for Healthcare data." •Alex Merced, Head of DevRel at Dremio – "Apache Iceberg Spark Procedures: Simplifying Table Management and Optimization."

7:00 PM – Panel: Spark in production (Databricks/ EMR/ K8s...) 7:30 PM – Networking and mingling 8:00 PM – Wrap it up

Please join us for this informal time to hang out with Data Professionals in NYC.

Join Alex Merced, creator of DataLakehouseHub.com, Head of DevRel at Dremio, and co-author of O'Reilly books "Apache Iceberg: The Definitive Guide" and "Apache Polaris: The Definitive Guide." Alex will be at a TBD location in midtown Manhattan on Monday, July 21st from 6:00 to 8:00 to discuss data and data lakehouses in an informal, casual setting. Get a drink, talk about the latest data tech, and relax!

To find out the location for this event, join the DataLakehouseHub Slack Workspace and post in the confirmation thread for the event in the #meetup-nyc channel.

Invitation Link https://join.slack.com/t/thedatalakehousehub/shared_invite/zt-274yc8sza-mI2zhCW8LGkOh1uxuf8T5Q

RSVP Today!

Please RSVP on Luma - https://lu.ma/95a5qys1 DO NOT rsvp here on meetup!

​Join us in NYC for an afternoon of ideas, innovation, and Iceberg. Whether you're building lakehouses at scale or just getting started with Apache Iceberg™, this is your chance to connect with the community, hear from industry leaders, and dive into the latest in open data architectures. ​Expect a packed agenda of technical talks, real-world case studies, and plenty of hallway conversations with fellow engineers, contributors, and data infrastructure folks. ​Date: Thursday, July 10th

​Call For Presentations

​We’re looking for engineers, practitioners, and open-source contributors to share real-world experiences, technical deep dives, and lessons learned with Apache Iceberg. ​Talks should be technical, practical, and 30 minutes in length. ​Submit your CFP here: https://bit.ly/NYC-Iceberg ​Ends on Jun 27 (Friday). We are looking for approximately 5 speakers.

​​Agenda

​3:00 – 4:00 PM: Doors open, refreshments, and casual networking 💬 4:00 – 5:30 PM: Welcome + speaker sessions 🎤 5:30 – 6:00 PM: Break & networking 🕺💃 6:00 – 7:00 PM: More technical talks 🎤 7:00 – 9:00 PM: Happy hour, dinner, and more networking 🥂 ​The event will focus on innovations in Apache Iceberg (https://iceberg.apache.org/) ​We will discuss topics around Open-Source Data Analytics, Open Table Formats (OTF), software concepts like Transactional Data Lakes or Lakehouse, advancements in AI/ML including generative AI, and many more topics of mutual interest that leverage Apache Iceberg. ​During the sessions, we will provide you tips to get involved within the community, you will learn more about how the community is collaborating to grow the technology, and software/solutions that ease problem solving and improve user experiences.

RSVP and Find details on the events LU.Ma page

https://lu.ma/95a5qys1

🧊 Apache Iceberg Meetup is coming to the Big Apple! 🗽

​Join us in NYC for an afternoon of ideas, innovation, and Iceberg. Whether you're building lakehouses at scale or just getting started with Apache Iceberg™, this is your chance to connect with the community, hear from industry leaders, and dive into the latest in open data architectures. ​Expect a packed agenda of technical talks, real-world case studies, and plenty of hallway conversations with fellow engineers, contributors, and data infrastructure folks. ​Date: Thursday, July 10th

​Call For Presentations

​We’re looking for engineers, practitioners, and open-source contributors to share real-world experiences, technical deep dives, and lessons learned with Apache Iceberg. ​Talks should be technical, practical, and 30 minutes in length. ​Submit your CFP here: https://bit.ly/NYC-Iceberg ​Ends on Jun 27 (Friday). We are looking for approximately 5 speakers.

**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.