– Room 2
Veronika Heimsbakk is a knowledge graph specialist at Data Treehouse, where she develops technology for making knowledge graphs practical and approachable for data engineers, among others. She enjoys working with messy, unstructured data and turning it into semantic structures that both humans and machines can reason with.
She is the author of SHACL for the Practitioner and was awarded among the Top 50 Women in Tech Norway 2024.
Knowledge engineering often feels like a big leap for data engineers: new concepts, new tooling, and unfamiliar terminology.
In this talk, I show that it is actually quite a small leap to get started! By using well-known data engineering tooling, I'll demonstrate how you can easily acquire skills in knowledge engineering. From data frames, pipelines, and transformations--we’ll walk through how the same data can be expressed as a knowledge graph with minimal extra complexity.
The focus is practical: how to think in relationships instead of tables, how to get started quickly, and when knowledge graphs actually add value. This is not a deep dive into theory, but a hands-on introduction for data engineers who are curious about knowledge engineering and want to try it now, not someday.
data engineers and other data practitioners, some familiarity with Python is preferred
Programmet er oppdatert.
