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ETL Google Data Catalog data with Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available

 

Google Data Catalog is a fully managed and highly scalable data discovery and metadata management service.

ETL Google Data Catalog data to your Google BigQuery data warehouse or enrich business-critical data with metadata and ETL it into Google Data Catalog in seconds. With Dataprep by Trifacta’s Google Data Catalog data connector, you can transform, automate, and monitor your Google Data Catalog data pipeline in real-time. No code required.

 
 

Join Google Data Catalog data with any data source

Combine datasets from any data source with your Google Data Catalog data. Connect to any data - Dataprep by 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 bolstering your Google Data Catalog with 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 Data Catalog Screenshot
 

Google Data Catalog to your data warehouse in minutes

ETL your Google Data Catalog data to the destination of your choice.

 

No-code automation for your Google Data Catalog data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data for your Google Data Catalog, 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 Data Catalog data pipelines with job scheduling so that the right Google Data Catalog data is in your BigQuery data warehouse when you need it. When new data updates in Google Data Catalog, 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."

 

Use cases for the Google Data Catalog data connector

  • ETL Google Data Catalog data to Amazon Redshift

  • ETL Google Data Catalog data to Google BigQuery with Dataprep

  • ETL Google Data Catalog data to Snowflake

  • ETL Google Data Catalog data to Databricks

  • ETL Google Data Catalog data to MySQL

  • ETL Google Data Catalog data to Microsoft Azure

  • Join Google Data Catalog data with Google Sheets data

  • Prepare Google Data Catalog data for data visualization in Tableau

 
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