Data engineering and AI in production,
explained by the people who build them.
Articles on Databricks, lakehouse, data governance and cloud cost, written by the people who design and run these platforms in large enterprises.
A Databricks architecture exercise for AI chat data analysis: requirements, timeline, cost and limits.
About the blog and who writes it
The Planncode blog brings together what we have learnt building data and AI platforms in large enterprises: architecture, Databricks, data governance and cloud cost. Each article starts from a real problem and explains the method, in language for decision-makers. The articles are signed by the founder of the company.
Léo Antunes, Founder and CEO of PlanncodeFacing a similar problem in production? Tell us about it.