Create BigQuery-Connected Visualizations in Klipfolio

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Use CData Connect Cloud to connect to BigQuery from Klipfolio and build custom visualizations using live BigQuery data.

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to BigQuery data for visualizations, reports, and more. This article shows how to connect to BigQuery in Connect Cloud and build visualizations from BigQuery data in Klipfolio.

CData Connect Cloud provides a pure cloud-to-cloud interface for BigQuery, allowing you to build reports from live BigQuery data in Klipfolio — without replicating the data to a natively supported database. As you create visualizations, Klipfolio generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to BigQuery, leveraging server-side processing to return the requested BigQuery data quickly.

Connect to BigQuery in Connect Cloud

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

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "BigQuery" from the Add Connection panel
  3. BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
  4. Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  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, you are ready to connect to BigQuery data Klipfolio.

Connect to BigQuery in Klipfolio

The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new BigQuery data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MSSQL as the Service
  4. Click "Create a custom MSSQL data source"
  5. Configure the data source by setting the MSSQL connection properties:
    • Host: tds.cdata.com
    • Port: 14333
    • Database: your database (e.g., GoogleBigQuery1)
    • Driver: MS SQL
    • Username: a Connect Cloud user (e.g. user@mydomain.com)
    • Password: the above user's PAT
    • SQL Query: any query to retrieve data (e.g. SELECT * FROM Orders )
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the BigQuery data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Metric

With the data modeled, we are ready to create a Metric (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create metrics"
  2. Select a Data source
  3. Select a Metric value and default aggregation
  4. Select Segmentation(s)
  5. Select a Date & time
  6. Select a Data shape
  7. Configure the Display settings
  8. Click Save
  9. Navigate to your Metric and further configure the visualization

SQL Access to BigQuery Data from Cloud Applications

Now you have a Metric built from live BigQuery data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce reports, and more — all without replicating BigQuery data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect Cloud.