From 5c4abbec47e07ba8c0418ad12fad4e09689a43c9 Mon Sep 17 00:00:00 2001 From: Paul Giles Date: Wed, 7 Nov 2018 17:47:23 -0800 Subject: [PATCH] typo fix --- website/source/intro/use-cases.html.markdown | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/source/intro/use-cases.html.markdown b/website/source/intro/use-cases.html.markdown index bca1d99a8..52c11eda7 100644 --- a/website/source/intro/use-cases.html.markdown +++ b/website/source/intro/use-cases.html.markdown @@ -51,7 +51,7 @@ easier to adopt the paradigm. ## Batch Processing Workloads -As data science and analytics teams grow is size and complexity, they increasingly +As data science and analytics teams grow in size and complexity, they increasingly benefit from highly performant and scalable tools that can run batch workloads with minimal operational overhead. Nomad can natively run batch jobs, [parameterized](https://www.hashicorp.com/blog/replacing-queues-with-nomad-dispatch) jobs, and [Spark](https://github.com/hashicorp/nomad-spark) workloads. Nomad's architecture enables easy scalability and an optimistically