Import MongoDB Data Using Azure Data Factory

Dibyendu Datta
Lead Technology Evangelist

Use CData Connect AI to connect to MongoDB Data from Azure Data Factory and import live MongoDB data.

Microsoft Azure Data Factory (ADF) is a completely managed, serverless data integration service. When combined with CData Connect AI, ADF enables immediate cloud-to-cloud access to MongoDB data within data flows. This article outlines the process of connecting to MongoDB through Connect AI and accessing MongoDB data within ADF.

CData Connect AI offers a cloud-to-cloud interface tailored for MongoDB, granting you the ability to access live data from MongoDB data within Azure Data Factory without the need for data replication to a natively supported database. Equipped with optimized data processing capabilities by default, CData Connect AI seamlessly channels all supported SQL operations, including filters and JOINs, directly to MongoDB. This harnesses server-side processing to expedite the retrieval of the desired MongoDB data.

About MongoDB Data Integration

Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:

Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).

MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.

For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.

Getting Started

Configure MongoDB Connectivity for ADF

Connectivity to MongoDB from Azure Data Factory is made possible through CData Connect AI. To work with MongoDB data from Azure Data Factory, we start by creating and configuring a MongoDB connection.

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

Log into Connect AI, click Sources, and then click Add Connection

👁 Adding a Connection

Select "MongoDB" from the Add Connection panel

👁 Selecting a data source

Enter the necessary authentication properties to connect to MongoDB.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
👁 Configuring a connection (Salesforce is shown)
Click Save & Test
Navigate to the Permissions tab in the Add MongoDB Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
On the Settings page, go to the Access Tokens section and click Create PAT.
Give the PAT a name and click Create. 👁 Creating a new PAT
The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to MongoDB data from Azure Data Factory.

Access Live MongoDB Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect AI Virtual SQL Server API, follow these steps.

👁 Logging in to ADF

If you have not yet created a Data Factory, Click New -> Dataset.

👁 Creating new data factory

In the search bar, enter SQL Server and select it when it appears. On the following screen, enter a name for the server. In the Linked service field, select New.

👁 Selecting SQL Server

Enter the connection settings.
- Name - enter a name of your choice.
- Server name - enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
- Database name - enter the Connection Name of the CData Connect AI data source you want to connect to (for example, MongoDB1).
- User Name - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
- Password - select Password (not Azure Key Vault) and enter the PAT you generated on the Settings page.
- Click Create.

👁 Configuring new linked service

In Set properties, set the Name, choose the Linked service we just created, select a Table name from those available, and Import schema from connection/store. Click OK.