any time in the data engineering world, you’ve likely encountered this debate at least once. Maybe twice. Ok, probably a dozen times😉 “Should we process our data in batches or in real-time?” And if you’re anything like me, you’ve noticed that the answer usually starts with: “Well, it depends…” Which is true. It  does  depend. But “it depends” is only useful if you actually know what it depends  on . And that’s the gap I want to fill with this article. Not another theoretical comparison of batch vs. stream processing (I hope you already know the basics). Instead, I want to give you a practical framework for deciding which approach makes sense for  your  specific scenario, and then show you how both paths look when implemented in Microsoft Fabric. It’s not batch vs. stream: it’s “when does the answer matter?” Let me skip dry definitions and jump straight to what actually separates these two approaches:  the value of freshness .…