Connect Pinterest Ads to BigQuery
Sync Pinterest with BigQuery using the Windsor.ai connector to store and analyze your social media data with premium tools in the data warehouse. Windsor.ai is a no-code connector that extracts data and sends it in five minutes. It also enables you to automate reporting on key Pinterest variables in the database.
Why do I need Pinterest and BigQuery integration?
BigQuery offers a serverless database solution with lots of inbuilt data modeling and analytics features. Connecting Pinterest to it offers various benefits in your data management and analytics as explained below.
- You can query your data without checking on the underlying infrastructure or managing resource provisioning.
- Enjoy powerful querying capabilities and complex analytical functions on the data to uncover invaluable insights.
- Store your Pinterest data securely thanks to security features, transparent data encryption, and Google Identity and Access Management (IAM).
- Create and execute machine learning models directly within BigQuery using SQL queries.
How to connect Pinterest Ads to BigQuery
It is very simple to connect Pinterest Ads to Google BigQuery, it can be done in a fast and easy manner with Windsor.ai.
1. Register
Register or login if you already have an account.
2. Select your source
You need to select Pinterest Ads as a Data Source and Grant Access to Windsor.ai.
3. Select Destination
Choose BigQuery as the destination.
4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.
5. Sync your Data
In the final step, grant access to the user: [email protected]. That’s all!
Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.
*Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.
FAQs
What is Pinterest Ads?
Pinterest is a popular social media that enables users to discover, share, and organize ideas using visual content. You can create and explore “pins”—images or videos that are saved to virtual boards for future reference. These pins can also link to external sites for more information. If you have many pins, you can organize them in thematic collections with related information sources.
What is BigQuery?
BigQuery is Google’s serverless, fully managed, and highly scalable data warehouse. It has tools for analyzing large datasets using SQL queries, supports ANSI SQL, and is known for its speed and efficiency in handling big data analytics. The service uses distributed computing and parallel processing to execute queries quickly, even on large datasets. This way, it can process billions of data rows in seconds.
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