Building a fishy cloud datawarehouse in 2023

Length: 45 minutes

Room: Room 3

Abstract

At Br Karlsen we make, buy and sell fish of all kinds, here are our experience in deploying the modern data stack , built on Airbyte, dbt , BigQuery and Apache Superset. Why we chose the components we did, and what our experience has been. When did we choose the managed version vs the open source version of a product?

Day & time

07 Thursday, 3:40 – 4:25 PM

Intended audience

Data Engineers, analytic engineers, data practitioners

• Magnus Fagertun

  With a long background in databases and data, Magnus went from Google in Oslo to the small island Husøy on Senja up far north to work with fish, aquaculture and data at Brødrene Karlsen. He's currently building an analytics environment in the Cloud.

  

  db_magnus