Yandex Metrica to GoodData Integration
AI-first ETL from Yandex Metrica into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Yandex Metrica into GoodData
Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Yandex Metrica: Website traffic analytics and session recordings.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Yandex Metrica entities map to GoodData
| Yandex Metrica entity | GoodData object | Notes |
|---|---|---|
| sessions | yandex_metrica_sessions | id PK · custom fields → flattened columns |
| visitors | yandex_metrica_visitors | id PK · linked to yandex_metrica_sessions |
| pageviews | yandex_metrica_pageviews | id PK · linked to yandex_metrica_sessions |
| traffic sources | yandex_metrica_traffic_sources | id PK · linked to yandex_metrica_sessions |
FAQ
How does Datrise handle Yandex Metrica's custom fields in GoodData?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native GoodData types.
How does the Yandex Metrica to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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More sources for GoodData
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