An organization has petabytes of data gathered from a wide range of sources. They want to use the data for strategic analysis and to guide business decisions. What type of service should they use?

A multi-cloud environment distributes workloads across multiple cloud providers but does not inherently address integrating diverse on-premises and cloud data sources for unified strategic analysis.

A virtual machine environment provides isolated compute instances but lacks the data integration capabilities and analytics scale needed for petabyte-level strategic analytics.

A hybrid cloud environment integrates on-premises infrastructure with public cloud services, enabling organizations to leverage cloud-scale analytics on petabytes of data while retaining control over sensitive or legacy on-premises data sources. This model supports a wide range of data origins and provides the flexibility and scalability needed for enterprise-level strategic analysis and business intelligence.

A container environment packages and deploys applications in isolated units but is not specifically designed for large-scale data analytics or integrating data from diverse heterogeneous sources.