ETL Google Cloud Storage data with Cloud Dataprep

CATEGORY: File & API      STATUS: Available

 

Google Cloud Storage is object storage for companies of all sizes.

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

 

Join Google Cloud Storage data with any data source

Combine datasets from any data source with your Google Cloud Storage data. Connect to any Google service - Cloud Dataprep 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 Cloud Storage data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Cloud Dataprep's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Google Cloud Storage Screenshot
 

Load data to your data warehouse in minutes

ETL your data to the destination of your choice

 

No-code automation for your Google Cloud Storage data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in Google Cloud Storage, ensure that the end result is high-quality data, every time. Cloud Dataprep 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 Cloud Storage data pipelines with job scheduling so that the right data is in your Google Cloud Storage when you need it. When new data lands in Google Cloud Storage, 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 Cloud Storage data connector

  • ETL Google Cloud Storage data to Amazon Redshift

  • ETL Google Cloud Storage data to Google Cloud Storage

  • ETL Google Cloud Storage data to Snowflake

  • ETL Google Cloud Storage data to Databricks

  • ETL Google Cloud Storage data to MySQL

  • ETL Google Cloud Storage data to Microsoft Azure

  • Join Google Cloud Storage data with Google Sheets data

  • Prepare Google Cloud Storage data for data visualization in Tableau

 
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