Build Snapchat Ads-Connected Dashboards in Redash

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CData Connect Server


Use CData Connect Server to create a virtual MySQL Database for Snapchat Ads data and build visualizations and dashbaords from Snapchat Ads data in Redash.

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Snapchat Ads data for visualizations, dashboards, and more. This article shows how to create a virtual database for Snapchat Ads and build visualizations from Snapchat Ads data in Redash.

CData Connect Server provides a pure MySQL, cloud-to-cloud interface for Snapchat Ads, allowing you to easily build visualizations from Snapchat Ads data in Redash. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Snapchat Ads, leveraging server-side processing to quickly return Snapchat Ads data.

Create a Virtual MySQL Database for Snapchat Ads Data

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

  1. Log into Connect Server and click Databases.
  2. Select "Snapchat Ads" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Snapchat Ads.

    You will need to create an OAuth application to connect to Snapchat Ads. See the online Help documentation for an authentication guide.

    Additionally, you can optionally set AccountId to provide a default Account ID (meaning it won't need to be manually provided in the WHERE clause). If the AccountId is not specified, the first account in the Accounts view is used.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to build visualizations in Tableau Online.

Visualize Snapchat Ads Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual Snapchat Ads database in Connect Server and building a simple visualization from the data.

Create a New Data Source

  1. Log into Redash, click on your profile and click "Data Sources"
  2. Click the " New Data Source" button
  3. Select "MySQL (Amazon RDS)" as the Data Source Type (CData Connect uses SSL, which the standard MySQL connection in Redash does not support)
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Snapchat Ads (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the CData Connect MySQL endpoint (e.g. 3306)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Snapchat Ads (e.g. SnapchatAds1)
    • Click the checkbox to Use SSQL
  5. Click Create
  6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Snapchat Ads data.

Create a Snapchat Ads Data Visualization

  1. Click Create -> New Query
  2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
  3. Write a SQL statement to retrieve the data, for example:
    SELECT AccountId, Name FROM Campaigns WHERE Id = '123'
  4. Click the "Execute" button to load Snapchat Ads data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Snapchat Ads data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Snapchat Ads Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Snapchat Ads data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Server page.