Marketing · Source connector
Google Display Video 360 ELT Connector
Extract brings Google Display Video 360 marketing data into data warehouses and databases for analysis with the rest of your business data. Teams use it to compare channel performance, audience engagement, and campaign trends. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
View setup guide
Use cases
What teams use this connector for
Marketing performance analysis
Compare Google Display Video 360 channel, campaign, and engagement trends to identify opportunities for improvement.
Audience and content analysis
Use Google Display Video 360 data to understand which audiences, content, and activities contribute to engagement.
Cross-channel reporting
Combine Google Display Video 360 metrics with other marketing and business data for consistent performance reporting.
Flexible reporting cadence
Refresh Google Display Video 360 reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make Google Display Video 360 marketing data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Configured streams
Configure the API resources or reports to replicate when creating the Extract connection.
Schema
Data model at a glance
Connector pairings
Popular destinations
Commonly paired with Google Display Video 360 in Extract workflows.
Why Extract
Why Extract for Google Display Video 360
- Rust-native performanceUse Rust-native data movement to refresh Google Display Video 360 reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect Google Display Video 360 API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine Google Display Video 360 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 Google Display Video 360 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. Dynamic stream configuration supports partition-based extraction. Behavior depends on stream settings. Extract records run details so teams can verify each sync.
Can I backfill historical Google Display Video 360 data with Extract?
Historical coverage for Google Display Video 360: Backfill (Days) (backfill): The backfill setting revisits and updates data from the past X days, ensuring the most current and accurate information replaces any previously pulled data. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor Google Display Video 360 data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Google Display Video 360 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 Google Display Video 360?
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 Google Display Video 360 data model look like in the destination?
The Available streams table describes the datasets Extract can read from Google Display Video 360. Use the connector documentation link for the available schema details and configuration requirements.