Article

Data warehouse vs. data lake: which should you choose?

A short decision guide for teams starting their first centralized data project.

by Patrik Kis Apr 6, 2026 6 min read
Data warehouse vs. data lake: which should you choose?

Introduction

Both data warehouses and data lakes solve the same fundamental problem — giving your whole company a single source of truth — but they do it in very different ways. This article explains when to pick one over the other.

This is placeholder content for the Data warehouse vs. data lake article. Replace it in the admin

panel with your own walkthrough, screenshots and code samples.

What you will learn

  1. How to structure a practical knowledge base entry
  2. What fields are available (title, excerpt, thumbnail, tags, read time)
  3. How translations work across the 4 supported locales

Step-by-step

  1. Open the admin panel at `/admin/knowledge-base`
  2. Click New article
  3. Fill in the slug, type (article / guide / tutorial / reference), author and thumbnail
  4. Add per-locale translations for the title, excerpt and content
  5. Save as draft, then flip to published when you are ready

Next steps

When you publish a new article it immediately appears in the public listing at

`/{locale}/knowledge-base` and can be linked from the footer. Use the featured

toggle to promote your most important guide to the top of the page.

Tags

architecture data warehouse