From 1ef36eed3e9a5281cb84a8b68c68878e1bb3abf7 Mon Sep 17 00:00:00 2001 From: Matt Shaver <60105315+matthewshaver@users.noreply.github.com> Date: Thu, 16 Nov 2023 16:18:35 -0500 Subject: [PATCH] Update website/docs/guides/dremio-lakehouse.md Co-authored-by: Leona B. Campbell <3880403+runleonarun@users.noreply.github.com> --- website/docs/guides/dremio-lakehouse.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/guides/dremio-lakehouse.md b/website/docs/guides/dremio-lakehouse.md index cc5bb0f9d4e..8199835fa52 100644 --- a/website/docs/guides/dremio-lakehouse.md +++ b/website/docs/guides/dremio-lakehouse.md @@ -16,7 +16,7 @@ recently_updated: true This guide will demonstrate how to build a data lakehouse with dbt Core 1.5 or new and Dremio Cloud. You can simplify and optimize your data infrastructure with dbt's robust transformation framework and Dremio’s open and easy data lakehouse. The integrated solution empowers companies to establish a strong data and analytics foundation, fostering self-service analytics and enhancing business insights while simplifying operations by eliminating the necessity to write complex Extract, Transform, and Load (ETL) pipelines. -## Prerequisites +### Prerequisites * You must have a [Dremio Cloud](https://docs.dremio.com/cloud/) account. * You must have Python 3 installed.