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ETL Pinterest data with Trifacta

CATEGORY: Marketing      STATUS: Available

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Pinterest is an image sharing and social media service.

ETL Pinterest data to your data warehouse and combine it with business-critical application data such as Salesforce, HubSpot, etc., in seconds. With Trifacta, you can transform, automate, and monitor your Pinterest pipeline with real-time metrics. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.
 

Join Pinterest data with any data source

Transform and combine your Pinterest data with datasets from any ecosystem, such as data from AWS or Azure, or cloud data warehouse, such as Snowflake or Amazon Redshift. Connect to any data—Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's combining Pinterest data with SaaS applications such as Salesforce, small Excel files, or big data, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Pinterest Screenshot
 

Pinterest to your data warehouse in minutes

ETL your Pinterest data to the destination of your choice.
 

No-code automation for your Pinterest pipeline

Trifacta democratizes the ETL process and empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, you can automate your Pinterest data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Pinterest pipeline in minutes, not months.

Ensure quality data every time.

No matter the data transformations that you need to make to your raw data, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Pinterest pipelines with job scheduling so that the right data is enriched or structured and in your data warehouse when you need it. When new Pinterest data is generated, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 
Pinterest Screenshot

Maximize the value of your Pinterest.

Strengthen the insights you get from Pinterest by centralizing your Pinterest data in a data warehouse, which allows you to enrich it with all sorts of company-wide data. No longer will data generated from Pinterest be isolated from the rest of your company’s critical and interconnected activities; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the Pinterest connector

  • Sales: Enrich Pinterest with product data in order to more accurately determine which ad campaigns are driving the most product usage.

  • Finance: Combine Pinterest with finance data to determine which campaigns have resulted in highest ROI.

  • Marketing: Enrich Pinterest with additional marketing data to determine the relative success of marketing campaigns.

 
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