DatriseAI-first ETL

LinkedIn Pages to Azure Synapse Integration

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

How Datrise loads LinkedIn Pages into Azure Synapse

Datrise syncs LinkedIn Pages's posts, followers, page statistics, impressions, engagement metrics, and follower demographics into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

LinkedIn Pages: Organic company page content and follower analytics.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How LinkedIn Pages entities map to Azure Synapse

LinkedIn Pages entityAzure Synapse objectNotes
postslinkedin_pages_postsid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the LinkedIn Pages to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

Early access

Connect LinkedIn Pages to Azure Synapse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.