Build Twitter Ads-Connected Dashboards 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 Twitter Ads data for visualizations, dashboards, and more. This article shows how to create a virtual database for Twitter Ads and build visualizations from Twitter Ads data in Redash.

CData Connect Server provides a pure SQL Server interface for Twitter Ads, allowing you to easily build reports from live Twitter Ads data in Redash — without replicating the data to a natively supported database. 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 Twitter Ads, leveraging server-side processing to quickly return the requested Twitter Ads data.

Create a Virtual SQL Server Database for Twitter Ads Data

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

1. Login to Connect Server and click Connections.
2. Select "Twitter Ads" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Twitter Ads.

   All tables require authentication. You must use OAuth to authenticate with Twitter. OAuth requires the authenticating user to interact with Twitter using the browser. For more information, refer to the OAuth section in the Help documentation.

4. Click Save Changes
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 connect to Twitter Ads data from Redash.

Visualize Twitter Ads Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Twitter 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 "Microsoft SQL Server" as the Data Source Type
4. On the configuration tab, set the following properties:
   • Name: Name the data source (e.g. Twitter Ads (CData Connect))
   • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
   • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
   • User: A CData Connect user
   • Password: The password for the above user
   • Database name: The name of the virtual database for Twitter Ads (e.g. TwitterAds1)
   • 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 Twitter Ads data.

Create a Twitter 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 EntityId, Entity FROM AdStats WHERE Entity = 'ORGANIC_TWEET'
4. Click the "Execute" button to load Twitter Ads data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Twitter Ads data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Twitter Ads Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Twitter 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.