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.
talk-data.com
Speaker
Will Martin
1
talks
PhD / EMEA Evangelist
Dremio
Will Martin is an Evangelist at Dremio with a background as a data engineer, academic, technology consultant, and software developer. His career includes roles at CERN, BMT, Deloitte, and Tamr, and more than 15 years of collaborating with organizations across EMEA and APAC to deliver targeted technical solutions. With a foundation in statistical analysis in particle physics, he has experience across banking, shipping logistics, entertainment media, healthcare, defence, and customer 360.
Bio from: IN PERSON: Tooling for running Apache Kafka in Production
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