DatriseAI-first ETL

LinkedIn Pages to GoodData Integration

AI-first ETL from LinkedIn Pages into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads LinkedIn Pages into GoodData

Datrise syncs LinkedIn Pages's posts, followers, page statistics, impressions, engagement metrics, and follower demographics 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

LinkedIn Pages: Organic company page content and follower analytics.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How LinkedIn Pages entities map to GoodData

LinkedIn Pages entityGoodData objectNotes
postslinkedin_pages_postsid PK · custom fields → flattened columns
followerslinkedin_pages_followersid PK · linked to linkedin_pages_posts
page statisticslinkedin_pages_page_statisticsid PK · linked to linkedin_pages_posts
impressionslinkedin_pages_impressionsid PK · linked to linkedin_pages_posts

FAQ

How does Datrise handle LinkedIn Pages'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 LinkedIn Pages to GoodData sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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