Revenue · Source connector
Amazon Publisher Services ELT Connector
Extract brings Amazon Publisher Services revenue data into data warehouses and databases for analysis with the rest of your business data. Teams use it to reconcile revenue, monitor yield, and investigate performance changes. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
View setup guide
Use cases
What teams use this connector for
Revenue reconciliation
Compare Amazon Publisher Services revenue with finance and internal performance records to investigate discrepancies.
Yield and inventory analysis
Use Amazon Publisher Services data to monitor yield, inventory, and monetization performance over time.
Performance anomaly detection
Refresh Amazon Publisher Services performance views on a flexible schedule to identify unexpected revenue changes.
Flexible reporting cadence
Refresh Amazon Publisher Services reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make Amazon Publisher Services revenue data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Available streams
| Stream | Description | Sync mode |
|---|---|---|
report | Fields include _execution_date, _filename, _report_id, _singular_partition_key. | Incremental |
Schema
Data model at a glance
report
_execution_datestring_filenamestring_report_idstring_singular_partition_keystring_version_idstringapp_namestringapp_store_idstringbid_requestsinteger
No verified relationships are available in this schema preview.
Connector pairings
Popular destinations
Commonly paired with Amazon Publisher Services in Extract workflows.
Why Extract
Why Extract for Amazon Publisher Services
- Rust-native performanceUse Rust-native data movement to refresh Amazon Publisher Services reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect Amazon Publisher Services API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine Amazon Publisher Services data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.
FAQ
Frequently asked questions
How does Extract handle incremental and full Amazon Publisher Services syncs?
An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define partition-based extraction. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.
Can I backfill historical Amazon Publisher Services data with Extract?
Historical coverage for Amazon Publisher Services: No connector-specific backfill parameter is exposed. Initial historical coverage depends on the stream and provider. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor Amazon Publisher Services data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Amazon Publisher Services API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.
How often can Extract sync data from Amazon Publisher Services?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the Amazon Publisher Services data model look like in the destination?
The Available streams table describes the datasets Extract can read from Amazon Publisher Services. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.