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Amazon DSP to Databricks integration

Connect Amazon DSP to Databricks and automatically sync your advertising platform data. Weld extracts data from Amazon DSP, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.

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4.8 on G2
Amazon DSPSource
WeldWeld
DatabricksWarehouse
Weld · New sync
Amazon DSPSourceAmazon DSPConnected
Tables to sync

Your own tables, picked when you set up the sync.

  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
amazon_dsp schema
  • amazon_dsp.Synced
  • amazon_dsp.Syncing
  • amazon_dsp.Synced
  • amazon_dsp.Synced

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  • Pas Normal Studios
How it works

How to set up Amazon DSP to Databricks in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Amazon DSP sync
Amazon DSPNew connectionAmazon DSPAuthorised
Connection nameamazon_dsp
AuthorizeOpens Amazon DSP to grant read access
Use cases

Why sync Amazon DSP to Databricks?
Ready for analysis.

Centralizing your Amazon DSP data in Databricks 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 Databricks using SQL or your preferred BI tool.

  • Cross-channel ad performance

    Consolidate Amazon DSP campaign data in Databricks alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.

  • Centralized data warehouse

    Bring Amazon DSP data into Databricks 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 Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Amazon DSP to Databricks.

Weld syncs the objects the Amazon DSP connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.

    Weld MCP server

    Ask your agent.
    It queries Databricks 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 Databricks.

    Set up the MCP serverClaudeCursorChatGPTGemini
    Claude CodeOpus 5
    >

    Which Amazon DSP tables do we have in Databricks, and which is the largest?

    Looking up what Weld has synced from Amazon DSP.

    ●weld·search_available_references
    ⎿raw.amazon_dsp.*
    tables, columns and freshness
    ●weld·get_reference_schema
    ⎿columns, types and nullability
    ●weld·run_query
    ⎿select count(*) from {{raw.amazon_dsp.…}}
    submitted
    ●weld·get_query_status
    ⎿DONE
    ●weld·get_query_result
    ⎿rows returned
    ✓Answered from Amazon DSP data in Databricks
    >Ask about your Amazon DSP data
    Under the hood

    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 Databricks 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.
    Resources

    Keep reading.
    Guides, docs and schema.

    Documentation

    Amazon DSP setup guide

    How to connect Amazon DSP to Weld, step by step.

    Documentation

    Databricks setup guide

    How to connect Databricks to Weld, step by step.

    Connector

    Amazon DSP connector

    Everything Weld does with Amazon DSP.

    Connector

    Databricks connector

    Everything Weld does with Databricks.

    FAQ

    Common questions.
    About Amazon DSP to Databricks.

    Start syncing Amazon DSP to Databricks.

    Set up your Amazon DSP data pipeline in minutes. No credit card required. Free for 14 days.

    Amazon DSPSource
    WeldWeld
    DatabricksWarehouse
    Start for freeTalk to us
    Related

    Related integrations.
    More with Amazon DSP and Databricks.

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