Twitter Ads to Sisense Integration
AI-first ETL from Twitter Ads into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Twitter Ads into Sisense
Datrise syncs Twitter Ads's campaigns, line items, promoted tweets, spend, impressions, and conversions 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 Ads: Paid campaign delivery and performance on X.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Twitter Ads entities map to Sisense
| Twitter Ads entity | Sisense object | Notes |
|---|---|---|
| campaigns | twitter_ads_campaigns | id PK · custom fields → flattened columns for the cube |
| line items | twitter_ads_line_items | id PK · linked to twitter_ads_campaigns |
| promoted tweets | twitter_ads_promoted_tweets | id PK · linked to twitter_ads_campaigns |
| spend | twitter_ads_spend | id PK · linked to twitter_ads_campaigns |
FAQ
How does Datrise handle Twitter 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 Ads to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for Twitter Ads
Early access
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