LinkedIn Ads → Microsoft SQL Server
AI-first ETL from LinkedIn Ads into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into Microsoft SQL Server
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into Microsoft SQL Server 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 a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How LinkedIn Ads entities map to Microsoft SQL Server
| LinkedIn Ads entity | Microsoft SQL Server object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn Ads's custom fields in Microsoft SQL Server?
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 Microsoft SQL Server types.
How does the LinkedIn Ads to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
More destinations for LinkedIn Ads
- LinkedIn Ads → Oracle Database
- LinkedIn Ads → Snowflake
- LinkedIn Ads → Google BigQuery
- LinkedIn Ads → Amazon Redshift
- LinkedIn Ads → Databricks SQL Warehouse
- LinkedIn Ads → ClickHouse
- LinkedIn Ads → DuckDB
- LinkedIn Ads → Amazon Athena
- LinkedIn Ads → Amazon S3 Data Lake
- LinkedIn Ads → Azure Data Lake Storage
- LinkedIn Ads → Azure Synapse
- LinkedIn Ads → Spreadsheets
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Early access
Connect LinkedIn Ads to Microsoft SQL Server the easy way
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