DatriseAI-first ETL

Twitter/X Ads Amazon Athena

AI-first ETL from Twitter/X Ads into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Twitter/X Ads into Amazon Athena

Datrise syncs Twitter/X Ads's campaign metrics, spend, engagement, and ad conversion performance into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Twitter/X Ads: Ad performance source for X campaign analytics.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Twitter/X Ads entities map to Amazon Athena

Twitter/X Ads entityAmazon Athena objectNotes
campaign metricstwitter_x_ads_campaign_metricsid PK · custom fields → struct/map columns in Parquet
spendtwitter_x_ads_spendid PK · linked to twitter_x_ads_campaign_metrics
engagementtwitter_x_ads_engagementid PK · linked to twitter_x_ads_campaign_metrics
ad conversion performancetwitter_x_ads_ad_conversion_performanceid PK · linked to twitter_x_ads_campaign_metrics

FAQ

How does Datrise handle Twitter/X Ads's custom fields in Amazon Athena?

Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.

How does the Twitter/X Ads to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

Early access

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