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Feature: Add Quickstart Model Counts to README #19

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Jan 21, 2025
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Feature: Add Quickstart Model Counts to README #19

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MagicBot/add-model-counts updates
fivetran-catfritz Jan 10, 2025
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Update README.md
fivetran-catfritz Jan 21, 2025
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5 changes: 5 additions & 0 deletions CHANGELOG.md
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# 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))
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8 changes: 4 additions & 4 deletions README.md
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<p align="center">
# Pardot Source dbt Package ([Docs](https://fivetran.github.io/dbt_pardot_source/))

<p align="left">
<a alt="License"
href="https://github.com/fivetran/dbt_pardot_source/blob/main/LICENSE">
<img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" /></a>
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<img src="https://img.shields.io/badge/Contributions-welcome-blueviolet" /></a>
</p>

# 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
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## 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)
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