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Data Platform · Integration

Azure Data Factory

Sourcing.sh plugs into Azure Data Factory as the data source. AI agent index data enters your Microsoft cloud ETL/ELT pipelines.

Study the connection to Azure Data FactorySee Azure Data Factory ↗

What Sourcing.sh communicates with Azure Data Factory

Send the data

sourcing.sh pushes companies, profiles and fresh offers into your tool.

Refresh the data

Your records are re-crawled and updated continuously — the data no longer dies.

The index is the source: Data Factory ingests Sourcing.sh data, transforms it via streams and routes it to Synapse, storage or Azure databases. Fresh data orchestrated and scheduled in the cloud, distributed across your Microsoft data services.

This record describes a compatibility to study. Availability, data exchanged, required rights and any costs are confirmed before activation. General API and webhooks require Scale.

Your workflow

The right data. The right action.

New information, a detected change or a record to complete: your agent checks the data and applies the rules you defined.

Create a record, update approved fields or request human approval: you stay in control before data reaches your tool.

Define my workflow

How it works

  1. 01

    Frame the connection to Azure Data Factory

    Confirm compatible objects and necessary rights: OAuth, API key or export.

  2. 02

    Define exchanges

    Choose the fields to complete and the update rules in Azure Data Factory.

  3. 03

    Plan the checks

    Choose the cadences and actions to trigger when a change is detected.

Discover the API

Your next step

Turn data into action.

Find the right contacts, keep your data up to date and connect your tools.

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