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URL: https://www.cdata.com/kb/tech/mongodb-cloud-acl-analytics.rst

⇱ Connect to MongoDB Data in ACL Analytics

Connect to MongoDB Data in ACL Analytics

👁 Stanley Liu
Stanley Liu
Associate Technical Product Marketer
Connect to MongoDB data via CData Connect AI in ACL Analytics to run your data analysis workflows with real-time access to MongoDB data.

ACL Analytics, part of Diligent HighBond, is a powerful data analysis software primarily used for audit, risk management, and compliance. It enables professionals to examine and analyze large volumes of data to identify anomalies, trends, and potential risks or fraudulent activities.

CData Connect AI offers a dedicated cloud-to-cloud interface for MongoDB, enabling analytics directly from live MongoDB data within ACL Analytics, all without the need for data replication to a native database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to MongoDB. This leverages server-side processing to swiftly deliver the requested 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:

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 ACL Analytics

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

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "MongoDB" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to MongoDB. 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)
  4. Click Save & Test
  5. 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.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. 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 ACL Analytics.

Connect to MongoDB from ACL Analytics

The steps below outline connecting to CData Connect AI from ACL Analytics to create a new MongoDB data source. The CData Connect AI Virtual SQL Server allows you to establish a connection to your data from integration tools that support connections to SQL servers. The Virtual SQL Server mimics the behavior of a traditional SQL server, and it supports a range of query options.

  1. With your Analytics File open, select 'Import' --> 'Database and application' 👁 Creating a new data source
  2. Create a new connection
  3. Set the connection information
    • Server: tds.cdata.com
    • Port: 14333
    • Auth Scheme: Password
    • Username: a Connect AI user, for example, [email protected]
    • Password: the PAT for the above Connect AI user
    • Database: the name of your MongoDB connection, for example, MongoDB1
    👁 Connecting to Connect AI
  4. Click "Test Connection"
  5. Click "OK"
  6. You are now ready to work with your MongoDB data in ACL Analytics! 👁 See your data in ACL Analytics

Live connections to MongoDB data from your applications

ACL Analytics can now connect to live MongoDB data directly through Connect AI, allowing you to analyze MongoDB data without duplicating it.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect AI today!