DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Large amounts of data that can fit on one server
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Large amounts of data stored in a relational database
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Data that is collected by Facebook
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Data that is collected on a large scale, too large for one server, and is generally unstructured
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Detailed explanation-1: -Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
Detailed explanation-2: -Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.
Detailed explanation-3: -Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.
Detailed explanation-4: -Big Data analytics is a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences. Big Data analytics provides various advantages-it can be used for better decision making, preventing fraudulent activities, among other things.
Detailed explanation-5: -Big data is a voluminous set of structured, unstructured, and semi-structured datasets, which is challenging to manage using traditional data processing tools. It requires additional infrastructure to govern, analyze, and convert into insights.