DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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High usage factor of CPU
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High scalability through parallel computing
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High usage factor of GPU
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Accelaration of processor speed through faster GPU calculations
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Detailed explanation-1: -While traditional data is based on a centralized database architecture, big data uses a distributed architecture. Computation is distributed among several computers in a network. This makes big data far more scalable than traditional data, in addition to delivering better performance and cost benefits.
Detailed explanation-2: -Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.
Detailed explanation-3: -Scalability ensures that your acquired infrastructure can endure the data requirements of the future. Instead of revamping the entire infrastructure, you can expand the existing one and accommodate additional workload volume. With scalable infrastructure, you don’t have to worry about additional capacity requirements.
Detailed explanation-4: -Explanation: Cost reduction, time reductions and smarter business decisions are the benefits of big data processing.