A consulting firm needs a solution to hold logs that are rarely modified but still need on-demand access with moderate performance. The firm wants to control costs. Which choice is the best fit in this situation?
Adopt a system that organizes data in an unstructured environment designed for elasticity
Adopt a shared setup that arranges files in a single hierarchical structure
Adopt a solution that uses fixed-size chunks mapped directly to a host
Adopt a local high-speed device that is physically attached to the host
A system that organizes data in an unstructured environment is ideal because it scales easily while controlling costs. Solutions that store data as fixed-size chunks closely attached to a host require more overhead when scaled. Shared systems that hold data in a hierarchical format can be more expensive to maintain for larger data sets. Keeping data on a high-speed local device limits expandability and can raise costs when storing large volumes.
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What does it mean for data to be stored in an unstructured environment?
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Why is a hierarchical file system less cost-effective for scaling large data sets?
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Why are high-speed local devices unsuitable for scalable data solutions?