feat: (DENG-2131): update app store docs

.spelling

@@ -501,4 +501,9 @@ unmute
 is_lineage_mode
 schemaFilter
 client_scalar_probe_counts
-20Definition
+20Definition
+redownloads
+dbt_apple_store
+moz-fx-data-bq-fivetran
+firefox_app_store_v2
+app_store_funnel_v1

src/SUMMARY.md

@@ -131,7 +131,7 @@
   - [Non-Desktop Datasets](datasets/non_desktop.md)
     - [Day 2-7 Activation](datasets/non_desktop/day_2_7_activation/reference.md)
     - [Google Play Store](datasets/non_desktop/google_play_store/reference.md)
-    - [Apple App Store](datasets/non_desktop/apple_app_store/reference.md)
+    - [Apple App Store](datasets/non_desktop/app_store_v2_syndicate/reference.md)
   - [Other Datasets](datasets/other.md)
     - [hgpush](datasets/other/hgpush/reference.md)
     - [Stub installer ping](datasets/other/stub_installer/reference.md)

src/datasets/non_desktop.md

@@ -6,4 +6,4 @@ Non-Desktop data includes data for all mobile browser products as well as non br
 
 - [Day 2-7 Activation](./non_desktop/day_2_7_activation/reference.md) - Used to calculate the [Day 2-7 Activation metric](../metrics/metrics.md#day-2-7-activation), a key result in 2020 for non-desktop products.
 - [Google Play Store Data](./non_desktop/google_play_store/reference.md) - Used to understand the acquisition performance for non-desktop products on the Google Play Store.
-- [Apple App Store Data](./non_desktop/apple_app_store/reference.md) - Used to understand the acquisition performance for the non-desktop products on the Apple App Store.
+- [Apple App Store Data](./non_desktop/app_store_v2_syndicate/reference.md) - Used to understand the acquisition performance for the non-desktop products on the Apple App Store.

src/datasets/non_desktop/app_store_v2_syndicate/reference.md

@@ -0,0 +1,38 @@
+# Apple App Store
+
+<!-- toc -->
+
+# Introduction
+
+The [`app_store_v2_syndicate`](https://console.cloud.google.com/bigquery?project=moz-fx-data-shared-prod&ws=!1m8!1m3!3m2!1smoz-fx-data-shared-prod!2sapp_store!1m3!3m2!1smoz-fx-data-shared-prod!2sapp_store_v2_syndicate) dataset is used to understand the acquisition performance for non-desktop products on the Apple App Store along the key metrics and dimensions. Apple’s documentation for all metrics and dimensions can be found [in the app store connect reference](https://help.apple.com/app-store-connect/#/itc21781223f).
+
+# Contents
+
+The `app_store_v2_syndicate` dataset contains a collection of pre-aggregated tables by a singular dimension that explains the performance of acquisition activity through the Apple App Store. The tables available are as follows:
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_crash_daily` - Daily metrics to understand crashes for your App Store apps by app version and device type.
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_session_detailed_daily` - Daily metrics to understand how often people open your app, and how long they spend in your app.
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_session_standard_daily` - Daily metrics to understand how often people open your app, and how long they spend in your app.
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_discovery_and_engagement_detailed_daily` - Daily metrics on how users discover and engage with your app on the App Store.
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_discovery_and_engagement_standard_daily` - Daily metrics on how users discover and engage with your app on the App Store.
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_download_detailed_daily` - Daily metrics to understand to understand your total number of downloads, including first-time downloads, redownloads, updates, and more.
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_download_standard_daily` - Daily metrics to understand to understand your total number of downloads, including first-time downloads, redownloads, updates, and more.
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_installation_and_deletion_detailed_daily` - Daily metrics to estimate the number of times people install and delete your App Store apps.
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_installation_and_deletion_standard_daily` - Daily metrics to estimate the number of times people install and delete your App Store apps.
+
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.app_store_review` - Pulls app reviews from the App Store.
+- `moz-fx-data-shared-prod.app_store_v2_syndicate.apple_store_territory_report` - Breakdown of app impressions, installs, and downloads by source (App Store search or App Store browse) and territory (country).
+
+# Data Reference
+
+## Schema
+
+A schema and field information can be found in the [dbt_apple_store docs](https://fivetran.github.io/dbt_apple_store/#!/source_list/apple_store).
+
+## Scheduling
+
+The raw data is retrieved from the Apple App Store using a [Fivetran Apple App Store connector](https://fivetran.com/dashboard/connections/branches_bunches/status?groupId=loading_reputation&service=itunes_connect&syncChartPeriod=1%20Day). This data is then also transformed by a [Fivetran transformation](https://fivetran.com/dashboard/transformations/quickstart/refill_regaining?groupId=loading_reputation) and made available inside a BigQuery dataset [moz-fx-data-bq-fivetran.firefox_app_store_v2](https://console.cloud.google.com/bigquery?project=moz-fx-data-shared-prod&ws=!1m8!1m3!3m2!1smoz-fx-data-shared-prod!2sapp_store!1m3!3m2!1smoz-fx-data-shared-prod!2sapp_store_v2_syndicate) from where downstream ETL processes consume the data for deriving insights (example: [app_store_funnel_v1](https://github.com/mozilla/bigquery-etl/blob/17172bf4a46483966d1971d30b9bce60e41e9d88/sql/moz-fx-data-shared-prod/firefox_ios_derived/app_store_funnel_v1/query.sql)).