For data engineers, this isn’t just market news. Instead, it’s a daily constraint. When RAM and flash become more and more expensive, the old reflex of “add more capacity” no longer works. Budgets don’t scale with data volume and cloud bills are under scrutiny. As data engineers, what can we do when our dataset doubles but the cluster doesn’t? We must be creative. In this article, I’ll start from ...