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The following commit(s) were added to refs/heads/main by this push:
     new b48fd04  Fix typo in opening paragraph (#68)
b48fd04 is described below

commit b48fd04d64c9f1101f5b6db31638a930b1393759
Author: Andrew Lamb <and...@nerdnetworks.org>
AuthorDate: Fri Apr 11 13:37:08 2025 -0400

    Fix typo in opening paragraph (#68)
    
    Scale Factor 100 is 36GB not 3.6GB
---
 content/blog/2025-04-10-fastest-tpch-generator.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/blog/2025-04-10-fastest-tpch-generator.md 
b/content/blog/2025-04-10-fastest-tpch-generator.md
index 7bf45d4..dc92097 100644
--- a/content/blog/2025-04-10-fastest-tpch-generator.md
+++ b/content/blog/2025-04-10-fastest-tpch-generator.md
@@ -42,7 +42,7 @@ faster than any other implementation we know of.
 It is now possible to create the TPC-H SF=100 dataset in 72.23 seconds (1.4 
GB/s
 😎) on a Macbook Air M3 with 16GB of memory, compared to the classic `dbgen`
 which takes 30 minutes<sup>1</sup> (0.05GB/sec). On the same machine, it takes 
less than
-2 minutes to create all 3.6 GB of SF=100 in [Apache Parquet] format, which 
takes 44 minutes using [DuckDB].
+2 minutes to create all 36 GB of SF=100 in [Apache Parquet] format, which 
takes 44 minutes using [DuckDB].
 It is finally convenient and efficient to run TPC-H queries locally when 
testing
 analytical engines such as DataFusion.
 


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