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Get the Report →Build Snowflake-Connected Visualizations in datapine
Use CData Connect Cloud and datapine to build visualizations and dashboards with access to live Snowflake data.
datapine is a browser-based business intelligence platform. When paired with the CData Connect Cloud, you get access to your Snowflake data directly from your datapine visualizations and dashboards. This article describes connecting to Snowflake in CData Connect Cloud and building a simple Snowflake-connected visualization in datapine.
CData Connect Cloud provides a pure SQL Server interface for Snowflake, allowing you to query data from Snowflake without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Snowflake, leveraging server-side processing to return the requested Snowflake data quickly.
About Snowflake Data Integration
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
- Reads and write Snowflake data quickly and efficiently.
- Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
- Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
Getting Started
Configure Snowflake Connectivity for datapine
Connectivity to Snowflake from datapine is made possible through CData Connect Cloud. To work with Snowflake data from datapine, we start by creating and configuring a Snowflake connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "Snowflake" from the Add Connection panel
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Enter the necessary authentication properties to connect to Snowflake.
To connect to Snowflake:
- Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
- Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
- Set Warehouse to the Snowflake warehouse.
- (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
- (Optional) Set Database and Schema to restrict the tables and views exposed.
See the Getting Started guide in the CData driver documentation for more information.
- Click Create & Test
- Navigate to the Permissions tab in the Add Snowflake 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.
Connecting to Snowflake from datapine
Once you configure your connection to Snowflake in Connect Cloud, you are ready to connect to Snowflake from datapine.
- Log into datapine
- Click Connect to navigate to the "Connect" page
- Select MS SQL Server as the data source
- In the Integration step, fill in the connection properties and click "Save and Proceed"
- Set the Internal Name
- Set Database Name to the name of the connection we just configured (e.g. Snowflake1)
- Set Host / IP to "tds.cdata.com"
- Set Username to your Connect Cloud username (e.g. [email protected])
- Set Password to the corresponding PAT
- Set Database Port to "14333"
- In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
- In the References step, define any relationships between your selected tables and click "Save and Proceed"
- In the Data Transfer step, click "Go to Analyzer"
Visualize Snowflake Data in datapine
After connecting to CData Connect Cloud, you are ready to visualize your Snowflake data in datapine. Simply select the dimensions and measures you wish to visualize!
Having connect to Snowflake from datapine, you are now able to visualize and analyze real-time Snowflake data no matter where you are. To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect Cloud today!