Company K is designing their Big Data system. In their enterprise, they anticipate every 9 months there will be a big spike of new data on the order of multiple TB. Their company policy also dictates that data older than one year will be archived with a major clean up every 5 years. Cost is also a big issue.
Which of the following provides the best design for these requirements?
A . Estimate the peak volume over a 5 year period and set up a Hadoop system with commodity HW and storage to accommodate that volume
B . Estimate the peak volume over a 3 year period and set up a Hadoop system with NAS to accommodate the expected volume
C . Use Cloud elasticity capabilities to handle the peak and valley data volume
D . Use SAN storage with compression to handle the peak and valley data volume
Answer: A
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