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Create ADF Data Pipeline Connecting Salesforce to Snowflake

1. Create Data Connections

Connect Azure Data Factory to

Connect Azure Data Factory to Snowflake

2. Create Data Sources

Create a Snowflake Data Source in Azure Data Factory

Connect to Salesforce Lead and Account Object with Azure ADF

3. Move Data Between Applications

Create a Data Pipeline to Connect Salesforce to Snowflake

Import Data Into Salesforce with Azure Data Factory – Coming Soon 

4. Publishing and Administration

Publish your ADF Pipeline, Data Sets, and Triggers

Create an ADF Scheduled Trigger

Create ADF Data Pipeline Connecting Salesforce to Snowflake

IIn this example, we will provide you with a comprehensive guide on how to create ADF data pipeline connecting Salesforce to Snowflake. By following this tutorial, you’ll be able to combine all the previously created data sets and connections, allowing you to extract data from your source and push it directly into a Snowflake table sink. This powerful and intuitive process streamlines your workflow, enabling you to efficiently manage your data and maximize your overall data management capabilities. So, let’s dive right in and explore the step-by-step process of creating an ADF data pipeline that connects Salesforce to Snowflake.

By following this step-by-step guide, you’ll be able to build an test and end to end pipeline from Salesforce leads to a Snowflake leads table.

Related Tutorials:

To complete and follow along in this tutorial you will need to have previously created datasets in Azure Data Factory:

Salesforce Lead Data Set

Snowflake Lead Dataset

Additional Documentation from Microsoft:

Copy data from and to Salesforce using Azure Data Factory

Copy and transform data in Snowflake using Azure Data Factory

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