diff --git a/CHANGELOG.md b/CHANGELOG.md index 174480d..6a381ea 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,3 +1,8 @@ +# dbt_pardot_source version.version + +## Documentation +- Corrected references to connectors and connections in the README. ([#19](https://github.com/fivetran/dbt_pardot_source/pull/19)) + # dbt_pardot_source v0.6.0 ## 🎉 Feature Update 🎉 - Databricks compatibility! ([#13](https://github.com/fivetran/dbt_pardot_source/pull/13)) diff --git a/README.md b/README.md index d3a50eb..85d8c3c 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,6 @@ -
+# Pardot Source dbt Package ([Docs](https://fivetran.github.io/dbt_pardot_source/)) + +
-# Pardot Source dbt Package ([Docs](https://fivetran.github.io/dbt_pardot_source/)) - ## What does this dbt package do? - Materializes [Pardot staging tables](https://fivetran.github.io/dbt_pardot_source/#!/overview/pardot_source/models/?g_v=1) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/pardot/#schemainformation). These staging tables clean, test, and prepare your Pardot data from [Fivetran's connector](https://fivetran.com/docs/applications/pardot) for analysis by doing the following: - Name columns for consistency across all packages and for easier analysis @@ -23,7 +23,7 @@ ## How do I use the dbt package? ### Step 1: Prerequisites To use this dbt package, you must have the following: -- At least one Fivetran Pardot connector syncing data into your destination. +- At least one Fivetran Pardot connection syncing data into your destination. - A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination. ### Step 2: Install the package (skip if also using the `pardot` transformation package)