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Feature: Add Quickstart Model Counts to README #18

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Jan 14, 2025
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Feature: Add Quickstart Model Counts to README #18

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6 changes: 6 additions & 0 deletions CHANGELOG.md
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@@ -1,3 +1,9 @@
# dbt_youtube_analytics version.version

## Documentation
- Added Quickstart model counts to README. ([#18](https://github.com/fivetran/dbt_youtube_analytics/pull/18))
- Corrected references to connectors and connections in the README. ([#18](https://github.com/fivetran/dbt_youtube_analytics/pull/18))

# dbt_youtube_analytics v0.4.0

The following changes were all made as a result of the [latest updates to the Fivetran YouTube Analytics connector](https://fivetran.com/docs/applications/youtube-analytics/changelog#june2023).
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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -31,12 +31,14 @@ The following table provides a detailed list of all tables materialized within t
| [youtube__gender_demographics_pivot](https://fivetran.github.io/dbt_youtube_analytics/#!/model/model.youtube_analytics.youtube__gender_demographics_pivot) | Each record represents a daily video view percentage with the gender options pivoted out for quicker analysis. |
| [youtube__video_metadata](https://fivetran.github.io/dbt_youtube_analytics/#!/model/model.youtube_analytics.youtube__video_metadata) | Each record represents an individual video enriched with metadata. |

### Materialized Models
Each Quickstart transformation job run materializes 11 models if all components of this data model are enabled. This count includes all staging, intermediate, and final models materialized as `view`, `table`, or `incremental`.
<!--section-end-->

## How do I use the dbt package?
### Step 1: Prerequisites
To use this dbt package, you must have the following:
- At least one Fivetran Youtube Analytics connector syncing data into your destination.
- At least one Fivetran Youtube Analytics connection syncing data into your destination.
- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.

#### Databricks Dispatch Configuration
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