DataformGoogle
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Google VPC Service ControlsGoogle
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Related Products
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About
Dataform enables data analysts and data engineers to develop and operationalize scalable data transformation pipelines in BigQuery using only SQL from a single, unified environment. Its open source core language lets teams define table schemas, configure dependencies, add column descriptions, and set up data quality assertions within a shared code repository while applying software development best practices, version control, environments, testing, and documentation. A fully managed, serverless orchestration layer automatically handles workflow dependencies, tracks lineage, and executes SQL pipelines on demand or via schedules in Cloud Composer, Workflows, BigQuery Studio, or third-party services. In the browser-based development interface, users get real-time error feedback, visualize dependency graphs, connect to GitHub or GitLab for commits and code reviews, and launch production-grade pipelines in minutes without leaving BigQuery Studio.
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About
VPC Service Controls. Managed networking functionality for your Google Cloud resources. New customers get $300 in free credits to spend on Google Cloud during the first 90 days. All customers get free usage (up to monthly limits) of select products, including BigQuery and Compute Engine. Mitigate exfiltration risks by isolating multi-tenant services. Ensure sensitive data can only be accessed from authorized networks. Restrict resource access to allowed IP addresses, identities, and trusted client devices. Control which Google Cloud services are accessible from a VPC network. Enforce a security perimeter with VPC Service Controls to isolate resources of multi-tenant Google Cloud services—reducing the risk of data exfiltration or data breach. Configure private communication between cloud resources from VPC networks spanning cloud and on-premises hybrid deployments. Take advantage of fully managed tools like Cloud Storage, Bigtable, and BigQuery.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data analysts and engineers requiring a solution to build, test, document, and orchestrate production-ready BigQuery data pipelines
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Audience
Companies and users looking for a managed networking functionality software for their Google Cloud resources
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/dataform
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/vpc-service-controls/
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Categories |
Categories |
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Integrations
Google Cloud BigQuery
Supported
Amazon S3
Not Supported
Amazon Web Services (AWS)
Not Supported
Beats
Not Supported
Coralogix
Not Supported
GitHub
Supported
GitLab
Supported
Google Cloud Bigtable
Not Supported
Google Cloud Managed Service for Apache Airflow
Supported
Google Cloud Platform
Not Supported
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Integrations
Google Cloud BigQuery
Supported
Amazon S3
Supported
Amazon Web Services (AWS)
Supported
Beats
Supported
Coralogix
Supported
GitHub
Not Supported
GitLab
Not Supported
Google Cloud Bigtable
Supported
Google Cloud Managed Service for Apache Airflow
Not Supported
Google Cloud Platform
Supported
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