From b3aa3500a97c22342cfd0709ba111b0ab47286b8 Mon Sep 17 00:00:00 2001 From: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com> Date: Tue, 7 Jan 2025 17:20:37 -0600 Subject: [PATCH] MagicBot/add-model-counts updates --- CHANGELOG.md | 6 ++++++ README.md | 4 +++- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 28419a1..e3348ee 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -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). diff --git a/README.md b/README.md index 4b6c054..6049907 100644 --- a/README.md +++ b/README.md @@ -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`. ## 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