DatriseAI-first ETL

LinkedIn Pages to Domo Integration

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

How Datrise loads LinkedIn Pages into Domo

Datrise syncs LinkedIn Pages's posts, followers, page statistics, impressions, engagement metrics, and follower demographics into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

LinkedIn Pages: Organic company page content and follower analytics.

Domo: Cloud BI platform combining data integration and executive dashboards.

How LinkedIn Pages entities map to Domo

LinkedIn Pages entityDomo objectNotes
postslinkedin_pages_postsid PK · custom fields → flattened columns for Magic ETL
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 Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the LinkedIn Pages to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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