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Implementing a Data Mesh with Apache Kafka

On demand
4:00 PM - 5:00 PM ET

Sponsored by

Speaker Adam Bellemare Technologist in the Office of the CTO

Adam is a technologist in the Office of the CTO at Confluent. He has worked on a wide range of projects, including event-driven data mesh theory and proof of concepts, event-driven microservice strategies, and event and event stream design principles. Before Confluent Adam worked in several e-commerce companies as a big data platform engineer, focused on building event-driven solutions with Apache Kafka. Adam is the author of O'Reilly's Building Event-Driven Microservices (2020).

Implementing a Data Mesh with Apache Kafka

Wednesday, March 22nd | 4PM ET


Have you heard about Data Mesh but never really understood how you actually build one? 

Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. Although the data mesh is not a technology specific pattern, it requires that organizations make choices and investments into specific technologies and operational policies when implementing the mesh. Establishing "paved roads" for creating, publishing, evolving, deprecating, and discovering data products is essential for bringing the benefits of the mesh to those who would use it

Join us March 22nd to hear technologist Adam Bellemare cover how to implement a self-service data mesh with events streams in Apache Kafka®. Event streams as a data product are an essential part of a real-world data mesh, as they enable both operational and analytical workloads from a common source of truth. Event streams provide full historical data along with real-time updates, letting each individual data product consumer decide what to consume, how to remodel it, and where to store it to best suit their needs.

Adam will structure this talk by seeking to answer a hypothetical SaaS business question of "what is the relationship between feature usage and user retention?" This example will explore each team's role in the data mesh, including the data products they would (and wouldn't) publish, how other teams could use the products, and the organizational dynamics and principles underpinning it all.

Following the presentation will be the ultimate drinking experience – Whiskey. TechTalk Summit's resident Whiskey Ambassador will guide you through the intricacies of how to taste American whiskey like a pro. You must register in advance in order to receive your tasting whiskey in time. Let's share some bourbon together. 

As a special thank you, the first 60 people to attend this webinar will receive a complimentary copy of the O’Reilly Data Mesh Delivering Data-Driven Value at Scale book!