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ETL Google BigQuery data with Dataprep by Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available

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Google BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

ETL data from business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. or data from other Google services into BigQuery in seconds. With Dataprep by Trifacta’s seamless integration with BigQuery, you can transform, automate, and monitor your BigQuery data pipeline in real-time. No code required.

 

Dataprep documentation

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

Join Google BigQuery data with any data source

Combine datasets from any data source with your Google BigQuery data. Connect to any Google service - Dataprep by Trifacta natively integrates with the Google Cloud ecosystem and adheres to the same consumption, invoicing and security principles of Google Cloud. Whether it's joining Google BigQuery data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Dataprep by Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Google BigQuery Screenshot
 

Load data to your data warehouse in minutes

ETL your data to the destination of your choice
 

No-code automation for your Google BigQuery data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in BigQuery, 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 BigQuery data pipelines with job scheduling so that the right data is in your BigQuery database when you need it. When new data lands in your BigQuery database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 

"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 Google BigQuery data connector

  • ETL Google BigQuery data to Amazon Redshift

  • ETL Google BigQuery data to Snowflake

  • ETL Google BigQuery data to Databricks

  • ETL Google BigQuery data to MySQL

  • ETL Google BigQuery data to Microsoft Azure

  • Join Google BigQuery data with Google Sheets data

  • Prepare Google BigQuery data for data visualization in Tableau

 
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