Amazon DSP to MotherDuck integration
Connect Amazon DSP to MotherDuck and automatically sync your advertising platform data. Weld extracts data from Amazon DSP, loads it into MotherDuck, and lets you transform the data using SQL or dbt, no custom scripts required.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- amazon_dsp.Synced
- amazon_dsp.Syncing
- amazon_dsp.Synced
- amazon_dsp.Synced
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How to set up Amazon DSP to MotherDuck in Weld.
In the app, with the API or an agent.
Why sync Amazon DSP to MotherDuck?
Ready for analysis.
Centralizing your Amazon DSP data in MotherDuck lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Amazon DSP data directly in MotherDuck using SQL or your preferred BI tool.
Cross-channel ad performance
Consolidate Amazon DSP campaign data in MotherDuck alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.
Centralized data warehouse
Bring Amazon DSP data into MotherDuck alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Amazon DSP to MotherDuck. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Amazon DSP to MotherDuck.
Weld syncs the objects the Amazon DSP connector exposes into MotherDuck, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries MotherDuck for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Amazon DSP context, finds the tables it needs and runs the query in MotherDuck.
Which Amazon DSP tables do we have in MotherDuck, and which is the largest?
Looking up what Weld has synced from Amazon DSP.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Amazon DSP API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Amazon DSP adds new fields, they're detected and added to the corresponding MotherDuck tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Common questions.
About Amazon DSP to MotherDuck.
Start syncing Amazon DSP to MotherDuck.
Set up your Amazon DSP data pipeline in minutes. No credit card required. Free for 14 days.