Welcome to the Analytics Everywhere podcast, presented by Preset (the experts of Apache Superset). This podcast is dedicated to understanding the perspectives of the builders of next generation data tools and the impact those tools seek to have on the end user analytics experience. 

In episode 1, Max and Srini from Preset speak with Chris Riccomini on the data mesh. 

Who:

Chris Riccomini created Apache Samza, a streaming framework on top of Apache Kafka, while at LinkedIn and then went on to help manage data engineering at WePay. Max Beauchemin is the original creator of Apache Airflow and Apache Superset and is Preset's founder and CEO. Srini Kadamati is a Senior Developer Advocate at Preset.

Episode Overview:

If you're new to the data mesh, don't worry! We start by getting a great definition of the data mesh by Chris. The episode then goes on to discuss the challenges of large scale data infrastructure that both Chris and Max have encountered at organizations like Airbnb, Lyft, Facebook, and LinkedIn. We also discuss Snowflake's data clean room, building data products more generally, data tools that Max and Chris wish existed, and even Matt Damon!

We hope you enjoy this first episode! If you have thoughts or feedback, please reach out to me at srini@preset.io