Twitter/X Ads → Sisense
AI-first ETL from Twitter/X Ads into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Twitter/X Ads into Sisense
Datrise syncs Twitter/X Ads's campaign metrics, spend, engagement, and ad conversion performance into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Twitter/X Ads: Ad performance source for X campaign analytics.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Twitter/X Ads entities map to Sisense
| Twitter/X Ads entity | Sisense object | Notes |
|---|---|---|
| campaign metrics | twitter_x_ads_campaign_metrics | id PK · custom fields → flattened columns for the cube |
| spend | twitter_x_ads_spend | id PK · linked to twitter_x_ads_campaign_metrics |
| engagement | twitter_x_ads_engagement | id PK · linked to twitter_x_ads_campaign_metrics |
| ad conversion performance | twitter_x_ads_ad_conversion_performance | id PK · linked to twitter_x_ads_campaign_metrics |
FAQ
How does Datrise handle Twitter/X Ads's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Twitter/X Ads to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
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