Compliance with applicable data protection laws and standards such as GDPR and local privacy regulations is the primary concern when transferring large confidential datasets to a cloud environment under tight privacy obligations.

You should prioritize this because legal and regulatory obligations determine where data may be stored and how it must be processed and protected. Evidence of compliance with applicable data protection laws and standards such as GDPR and local privacy regulations comes from vendor contractual commitments, a clear data processing agreement, standard contractual clauses or other transfer mechanisms, documented breach notification procedures, and independent audit reports and certifications.

Picking a provider that demonstrably meets those legal requirements reduces the risk of regulatory fines and contractual breaches and it ensures you can lawfully move and process the data. Technical capabilities are important but they do not replace the need for written legal assurances and demonstrable controls that satisfy privacy law.

The ability of the cloud platform to scale storage and compute to meet growing workloads is useful for handling large datasets but it is not the primary concern for privacy. Scalability addresses performance and cost management but it does not ensure lawful processing or adequate legal protections for personal data.

Use of VPC Service Controls and network perimeter features offered by the provider can help reduce exposure and limit network attack surface but these network controls are only one part of a privacy program. They do not by themselves address contractual obligations, cross border transfer rules, or data processing agreements required by privacy laws.

Low latency and high throughput capabilities for processing large datasets are important for operational performance and analytics but they do not satisfy privacy or legal requirements. Performance optimizations do not provide the contractual and compliance assurances needed when handling confidential personal data.

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