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?
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?
To handle petabytes of data for strategic analysis and business decisions, the organization needs a service that can efficiently manage and scale data-intensive applications. A container environment allows for flexibility, scalability, and efficient resource utilization by deploying and managing applications in containers. Container orchestration platforms like Kubernetes can manage these containers to run big data tools and applications effectively, making them well-suited for handling large volumes of data and complex data processing tasks.
D: Container Environment: While containers themselves aren't specifically for handling data analytics, they are part of an infrastructure that can efficiently manage and scale data-intensive applications across various environments. Container orchestration platforms like Kubernetes can manage containers that run big data tools and applications, providing flexibility, scalability, and efficiency. This allows for the deployment of complex applications and data processing tasks that can handle large volumes of data effectively.
So it will be C ?
D is answer, container support many data 100%. C is wrong because about only public and private environment.
Question is about service, than it is Container. :)