DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Speed of input data generation
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Speed of individual machine processors
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Speed of storing and processing data
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Speed of ONLY storing data
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Detailed explanation-1: -Velocity refers to the speed at which data is entered into a system and must be processed.
Detailed explanation-2: -Velocity. The next of the 5 V’s of big data is velocity. It refers to how quickly data is generated and how quickly that data moves. This is an important aspect for companies need that need their data to flow quickly, so it’s available at the right times to make the best business decisions possible.
Detailed explanation-3: -Volume refers to the amount of data, velocity refers to the speed of data processing, and variety refers to the number of types of data.
Detailed explanation-4: -Velocity refers to the speed at which data is generated and must be processed and analyzed. In many cases, sets of big data are updated on a real-or near-real-time basis, instead of the daily, weekly or monthly updates made in many traditional data warehouses.
Detailed explanation-5: -Viscosity-Viscosity measures the resistance to flow in the volume of data. This resistance can come from different data sources, friction from integration flow rates, and processing required to turn the data into insight.