From 1dfe3d296936fb9d95677b7e9274ab145b7f9f3e Mon Sep 17 00:00:00 2001 From: Sharon Adewusi Date: Mon, 8 Sep 2025 15:20:04 +0100 Subject: [PATCH 1/2] Warehouses overview edit --- src/connections/storage/warehouses/index.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/connections/storage/warehouses/index.md b/src/connections/storage/warehouses/index.md index d4aeb540e7..24234f57b3 100644 --- a/src/connections/storage/warehouses/index.md +++ b/src/connections/storage/warehouses/index.md @@ -4,20 +4,20 @@ redirect_from: '/connections/warehouses/' plan: warehouses --- -## What's a Warehouse? +## What's a warehouse? {% include content/whats-a-warehouse.md %} When selecting and building a data warehouse, consider three questions: -1. What type of data will be collected? -2. How many data sources will there be? -3. How will the data be used? +1. **What type of data will be collected?** +2. **How many data sources will there be?** +3. **How will the data be used?** -Relational databases are great when you know and predefine the information collected and how it will be linked. This is usually the type of database used in the world of user analytics. For instance, a users table might be populated with the columns `name`, `email_address`, or `plan_name`. +Relational databases are useful when the information to be collected and how it will be linked is known in advance. This is usually the type of database used in the world of user analytics. For instance, a users table might be populated with the columns `name`, `email_address`, or `plan_name`. -Examples of data warehouses include Amazon Redshift, Google BigQuery, and Postgres. +Examples of data warehouses include Amazon [Redshift](/docs/connections/storage/catalog/redshift/), Google [BigQuery](/docs/connections/storage/catalog/bigquery/), and [Postgres](/docs/connections/storage/catalog/postgres/). {% include content/how-a-sync-works.md %} @@ -27,7 +27,7 @@ Examples of data warehouses include Amazon Redshift, Google BigQuery, and Postgr {% include components/reference-button.html href="https://segment.com/academy/intro/when-to-use-sql-for-analysis/?referrer=docs" icon="media/academy.svg" title="Analytics Academy: When to use SQL for analysis" description="When your existing analytics tools can't answer your questions, it's time to level-up and use SQL for analysis." %} -### More Help +### Learn more [How do I send custom data to my warehouse?](/docs/connections/storage/warehouses/faq/#what-if-i-want-to-add-custom-data-to-my-warehouse) @@ -75,4 +75,4 @@ Check out the [Frequently Asked Questions about Warehouses](/docs/connections/st [How do I forecast LTV with SQL and Excel for e-commerce businesses?](/docs/guides/how-to-guides/forecast-with-sql/) -[How do I measure the ROI of my Marketing Campaigns?](/docs/guides/how-to-guides/measure-marketing-roi/) \ No newline at end of file +[How do I measure the ROI of my Marketing Campaigns?](/docs/guides/how-to-guides/measure-marketing-roi/) From 44db47163b570b5c0fab6a8ebbbbea4cb8c65011 Mon Sep 17 00:00:00 2001 From: Sharon Adewusi Date: Mon, 8 Sep 2025 17:32:24 +0100 Subject: [PATCH 2/2] Update src/connections/storage/warehouses/index.md Co-authored-by: forstisabella <92472883+forstisabella@users.noreply.github.com> --- src/connections/storage/warehouses/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/connections/storage/warehouses/index.md b/src/connections/storage/warehouses/index.md index 24234f57b3..0fee529f03 100644 --- a/src/connections/storage/warehouses/index.md +++ b/src/connections/storage/warehouses/index.md @@ -15,7 +15,7 @@ When selecting and building a data warehouse, consider three questions: 2. **How many data sources will there be?** 3. **How will the data be used?** -Relational databases are useful when the information to be collected and how it will be linked is known in advance. This is usually the type of database used in the world of user analytics. For instance, a users table might be populated with the columns `name`, `email_address`, or `plan_name`. +Relational databases are useful when you know in advance the information you want to collect and how you want to link that information. This is usually the type of database used in the world of user analytics. For instance, a users table might be populated with the columns `name`, `email_address`, or `plan_name`. Examples of data warehouses include Amazon [Redshift](/docs/connections/storage/catalog/redshift/), Google [BigQuery](/docs/connections/storage/catalog/bigquery/), and [Postgres](/docs/connections/storage/catalog/postgres/).