VOOZH about

URL: https://www.cdata.com/kb/tech/exchange-cloud-metabase.rst

⇱ How to integrate Metabase with Microsoft Exchange Data


How to integrate Metabase with Microsoft Exchange Data

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Microsoft Exchange data and create an interactive dashboard in Metabase from Microsoft Exchange data.

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect AI, users can easily create visualizations and dashboards linked to live Microsoft Exchange data. This article describes how to connect to Microsoft Exchange and build a simple visualization using Microsoft Exchange data.

CData Connect provides a pure cloud-to-cloud interface for Microsoft Exchange, allowing you to easily integrate with live Microsoft Exchange data in Metabase β€” without replicating the data. Connect looks exactly like a SQL Server database to Metabase and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Microsoft Exchange, leveraging server-side processing to quickly return Microsoft Exchange data.

Configure Microsoft Exchange Connectivity for Metabase

Connectivity to Microsoft Exchange from Metabase is made possible through CData Connect AI. To work with Microsoft Exchange data from Metabase, we start by creating and configuring a Microsoft Exchange connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Microsoft Exchange" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Microsoft Exchange.

    Specify the User and Password to connect to Exchange. Additionally, specify the address of the Exchange server you are connecting to and the Platform associated with the server.

    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Microsoft Exchange Connection page and update the User-based permissions. πŸ‘ 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. πŸ‘ 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 Microsoft Exchange data from Metabase.

Connect to CData Connect AI from Metabase

After creating the connection in Connect AI, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect AI.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab πŸ‘ Adding a new database connection to Metabase.
  2. Configure the connection to Connect AI and click "Save"
    • Database type: Select "SQL Server"
    • Name: Name the connection (e.g. "Microsoft Exchange (Connect AI)")
    • Host: tds.cdata.com
    • Port: 14333
    • Database name: The name of the connection you just created (e.g. Exchange1)
    • Username: A Connect AI username (e.g. [email protected])
    • Password: The PAT previously created
    • Click to Use a secure connection (SSL)
    πŸ‘ Configuring the connection to Connect AI.

Execute Microsoft Exchange Data with Metabase

Once you configure the connection to Connect AI, you can query Microsoft Exchange and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Microsoft Exchange data πŸ‘ Click the 'Write SQL' button.
  2. Write a SQL query based on the Microsoft Exchange connection in CData Connect AI, e.g.

    SELECT GivenName, Size FROM Contacts
    πŸ‘ Collected data (Salesforce is shown).
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization πŸ‘ Collected data (Salesforce is shown).

More Information & Free Trial

At this point, you have built a simple visualization from Microsoft Exchange data in Metabase. You can continue to work with live Microsoft Exchange data in Metabase just like you would any SQL Server database. For more information on creating a live connection to Microsoft Exchange (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Microsoft Exchange data in Metabase today.

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial