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Get the Report →Create BigQuery-Connected Visualizations in Klipfolio
Use CData Connect Cloud to connect to BigQuery Data from Klipfolio and build custom visualizations using live BigQuery data.
Klipfolio is an online dashboard platform designed to create real-time business dashboards, whether for your team or clients. When combined with CData Connect Cloud, you gain immediate cloud-to-cloud access to BigQuery data to create visualizations, reports, and more. This article provides step-by-step instructions on connecting to BigQuery within Connect Cloud and creating visualizations using BigQuery data in Klipfolio.
CData Connect Cloud offers a direct cloud-to-cloud interface for BigQuery, enabling you to construct reports from real-time BigQuery data data within Klipfolio—without the need for data replication to a database natively supported by Klipfolio. While building visualizations, Klipfolio generates SQL queries to fetch data. With optimized data processing capabilities out of the box, CData Connect Cloud efficiently directs all supported SQL operations (such as filters, JOINs, etc.) directly to BigQuery, harnessing server-side processing to swiftly retrieve the requested BigQuery data data.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Configure BigQuery Connectivity for Klipfolio
Connectivity to BigQuery from Klipfolio is made possible through CData Connect Cloud. To work with BigQuery data from Klipfolio, we start by creating and configuring a BigQuery connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "BigQuery" from the Add Connection panel
- BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
- 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.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- 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 from Klipfolio
The steps below outline connecting to CData Connect Cloud from Klipfolio to create a new BigQuery data source.
- Open Klipfolio
- Click in Data Sources to add a new data source
- Search for and select MSSQL as the Service
- Click "Create a custom MSSQL data source"
- 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. [email protected])
- 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"
- 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.
- Confirm that the model includes all columns you wish to work with
- Name your model
- (optional) Set the Description
- Set "Header in row" to 1
- Click the toggle to "Exclude data before row" and set the value to 2
- 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.
- Click "Create metrics"
- Select a Data source
- Select a Metric value and default aggregation
- Select Segmentation(s)
- Select a Date & time
- Select a Data shape
- Configure the Display settings
- Click Save
- 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.