From 8e9b799d99e844f2a9239522491394d0f2e36267 Mon Sep 17 00:00:00 2001
From: Oliver <okennedy@buffalo.edu>
Date: Sun, 18 Jun 2023 14:50:11 -0700
Subject: [PATCH] Minor hilda talk edit

---
 src/talks/2023-06-18-HILDA.erb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/talks/2023-06-18-HILDA.erb b/src/talks/2023-06-18-HILDA.erb
index 97e3857b..42cf109d 100644
--- a/src/talks/2023-06-18-HILDA.erb
+++ b/src/talks/2023-06-18-HILDA.erb
@@ -218,7 +218,7 @@ title: "Overlay Spreadsheets"
 	</ol>
 
 	<aside class="notes">
-		<p>So how do we handle "big" data?  Well, in a normal spreadsheet... we don't.  Notably, these start barfing around 10k rows.  DataSpread scales that up by quite a bit, but reaction times can still get slow if you have a lot of data, and that's not entirely surprising.  This is an in-memory reactive database, with data flows involving potentially millions of steps. </p>
+		<p>So how do we handle "big" data?  Well, in a normal spreadsheet... we don't.  Notably, these start barfing around a few 100k rows.  DataSpread scales that up by quite a bit, but reaction times can still get slow if you have a lot of data, and that's not entirely surprising.  This is an in-memory reactive database, with data flows involving potentially millions of steps. </p>
 
 		<p>So, what other options do we have?</p>
 	</aside>