Big data: options:
a) requires a strictly defined schema.
b) requires a normalized dataset to bcnf.
c) requires a normalized dataset to 3rd normal form.
d) does not require a strictly defined data model.

D) does not require a strictly defined data model.

Explanation:

The term big day helps to describe a field that helps to sort out ways to conduct analysis, review and get information from massive volume of grouped and ungrounded data that are too much or complex to deal with or sort out using traditional data processing application.

Big data poses problems such as data storage, analysis, sharing, capturing, privacy of information, transfer, etc. The 3 major concept of big data is based on volume, variety and velocity, others includes variability and veracity.

Advantages of Big data.

• It helps in making smart decisions.

• Helps in developing new products.

• saves time and reduce cost.

Note that the importance of big data revolves around what is done with the data not about the volume.

Big data has no strict defined model for working on them.

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the answer to your question would be something called hertz. the unit of measurement called a hertz, which is one cycle per second, is used to measure clock speed. within one cycle, your computer processes, refreshes, or updates itself to the changes that it is going through. in the case of computer clock speed, one hertz equals one tick per second. the clock speed of computers is usually measured in megahertz (mhz) or gigahertz (ghz)