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A focused data restoration assistant for Google data sources, enabling safe planning and execution of restore tasks.

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Client-Side Privacy

4.9 / 5.0

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About This Tool

The Data Restore Tool analyzes restoration requests for Google data sources and generates a repeatable, auditable plan. It helps teams prepare for data recovery events, migrations, or regulatory reviews by clarifying scope, sources, and destination. The tool emphasizes planning and documentation rather than execution, ensuring alignment with governance policies and historical data handling practices.
Conceptually, restoration is treated as a project: identify sources and date ranges, assign a destination, estimate data volumes, and set milestones. The tool uses per-type size estimates, validates inputs, and flags conflicts or missing prerequisites.
Who benefits: data engineers, IT security, compliance teams, and incident responders. It reduces guesswork, improves timeline accuracy, and provides auditable records for audits.
Core features and use cases: data-source enumeration, input validation, risk scoring, plan export, and API-ready payloads for integration with data pipelines. Use cases include incident response planning, data retention reviews, migration preparations, and compliance reporting.

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How to Use

Provide inputs: account_id, data_sources, data_types, date_start, date_end, destination, and optional verification_method.
Generate restoration plan: system validates inputs, estimates size and duration, and outlines steps.
Review outputs: inspect plan_id, estimates, and readiness for execution.
Export or integrate: export JSON or API-ready payload for downstream systems.

Frequently Asked Questions

Find Quick Answers

What data sources are supported?

The tool supports Google data sources such as Drive, Gmail, Photos, and Contacts, including Takeout archives. It focuses on planning and validation rather than direct transfers, enabling compliant, auditable restoration workflows.

Can it perform restores automatically?

No. The tool models restoration workflows and generates a plan. It guides human operators and API integrations but does not perform the actual data transfer or access controls by itself.

What inputs are required?

Required inputs include account_id, at least one data_source, date_start and date_end, data_types, and a destination. Optional verification_method can refine validation. Outputs provide plan_id, size estimates, and status.

Is it compliant with privacy regulations?

Yes. The tool incorporates privacy considerations such as data minimization, regional data handling rules, and audit-ready logs to support GDPR and CCPA compliant workflows.

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