ETL Google Analytics data with Trifacta

CATEGORY: Marketing      STATUS: Available


Google Analytics is a web analytics service offered by Google that tracks and reports website traffic.

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


Join Google Analytics data with any data source

Combine datasets from any data source with your Google Analytics data. 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 joining Google Analytics data with your Salesforce CRM data, an Excel CSV, or a JSON file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data to the Google Analytics schema with ease.

Google Analytics Screenshot

Google Analytics to your data warehouse in minutes

ETL your Google Analytics data to the destination of your choice.


No-code automation for your Google Analytics data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform Google Analytics data, ensure that the end result is high-quality data, every time. Dataprep by 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 Google Analytics data pipelines with job scheduling so that the right Google Analytics data is enriched or structured and in your BigQuery data warehouse when you need it. When new data updates in Google Analytics, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

Google Analytics Screenshot

Maximize the value of your Google Analytics data.

Strengthen the insights you get from Google Analytics by centralizing your Google Analytics data in your Google BigQuery data warehouse, which allows you to enrich it with all sorts of company-wide data. No longer will data generated from Google Analytics 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."


Use cases for the Google Analytics data connector

  • Sales: Enrich Google Analytics data with product data in order to more accurately determine which product is driving the most sales.

  • Finance: Combine data from Google Analytics with finance data to forecast total company revenue.

  • Marketing: Connect your CRM to Google Analytics to determine the success of marketing promotions on sales.

  • ETL Google Analytics data to Amazon Redshift

  • ETL Google Analytics data to Google BigQuery

  • ETL Google Analytics data to Snowflake

  • ETL Google Analytics data to Microsoft SQL Server

  • ETL Google Analytics data to MySQL

  • Join Google Analytics data with Google Sheets data

  • Prepare Google Analytics data for BI tools and data visualization in Tableau

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