DatriseAI-first ETL

Google Ads Amazon S3 Data Lake

AI-first ETL from Google Ads into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Ads into Amazon S3 Data Lake

Datrise syncs Google Ads's campaigns, ad groups, spend, clicks, conversions, and attribution signals into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.

Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.

Endpoints

Google Ads: Paid media source for campaign and conversion metrics.

Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.

How Google Ads entities map to Amazon S3 Data Lake

Google Ads entityAmazon S3 Data Lake objectNotes
campaignsgoogle_ads_campaignsid PK · custom fields → nested struct/map fields in Parquet
ad groupsgoogle_ads_ad_groupsid PK · linked to google_ads_campaigns
spendgoogle_ads_spendid PK · linked to google_ads_campaigns
clicksgoogle_ads_clicksid PK · linked to google_ads_campaigns

FAQ

How does Datrise handle Google Ads's custom fields in Amazon S3 Data Lake?

Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.

How does the Google Ads to Amazon S3 Data Lake sync stay up to date?

It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.

Related pipelines

Early access

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