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Join us for an Apache Kafka庐 x Apache Iceberg meetup on October 20th from 6:00pm in Krak贸w hosted BY VirtusLab!
The talks will be presented in English.

馃搷Venue:
VirtusLab
Szlak 49, 31-153 Krak贸w, Poland

馃棑 Agenda:

  • 6:00pm: Doors open/Welcome
  • 6:00pm - 6:10pm: Drinks & Networking
  • 6:10pm - 6:50pm: Will Martin, PhD / EMEA Evangelist, Dremio
  • 6:50pm - 7:05pm: Drinks & Networking
  • 7:05pm - 7:45pm: VirtusLab
  • 7:45pm - 8:00pm: Additional Q&A & Networking

馃挕 Speaker One:
Will Martin, PhD / EMEA Evangelist, Dremio

Title of Talk:
From Stream to Table: Building Kafka-to-Iceberg Pipelines

Abstract:
While Kafka excels at streaming data, the real challenge lies in making that data analytically useful without sacrificing consistency or performance. This talk explores why Apache Iceberg has emerged as the ideal streaming destination, offering ACID transactions, schema evolution, and time travel capabilities that traditional data lakes can't match. Learn about some foundational tools that enable streaming pipelines and why they all converge on this next-generation table format built for flexibility and scalability.

Bio:
Will Martin is an Evangelist at Dremio with experience as a data engineer, academic, technology consultant, and software developer. His career includes roles at CERN, BMT, Deloitte, and Tamr. He has spent 15+ years collaborating with companies and organisations across EMEA and APAC, working to understand their unique problems and to deliver targeted, technical solutions. Starting with a background of statistical analysis in particle physics, his professional journey has spanned multiple industries, including banking, shipping logistics, entertainment media, healthcare, defence, and customer 360.

馃挕 Speaker Two:
TBA VirtusLab

Title of Talk:
TBA

Abstract:
TBA

Bio:
TBA

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DISCLAIMER
NOTE: We are unable to cater for any attendees under the age of 18.
If you wish to speak at and/or host a future meetup, please email community@confluent.io

Events in Krak贸w, PL
Apache Kafka
Big Data
Stream Processing
Open Source
Technology

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