Question 3When working with big data, analysts consider the variety of data within large, complex datasets. What does this entail?1 pointAssessing the amount of data availableUnderstanding how quickly the data can be processedIdentifying the different kinds of data includedEvaluating the quality and reliability of the data
Question
Question 3When working with big data, analysts consider the variety of data within large, complex datasets. What does this entail?1 pointAssessing the amount of data availableUnderstanding how quickly the data can be processedIdentifying the different kinds of data includedEvaluating the quality and reliability of the data
Solution
This entails identifying the different kinds of data included in the large, complex datasets. Variety in big data refers to the many types of data that are available. This can include structured data like numbers, dates, and groups of words and numbers called strings, as well as unstructured data like text, video, audio, mobile activity, and social media activity. Understanding the variety of data helps analysts to use the right tools and approaches to analyze and interpret the data.
Similar Questions
Which of the following best describes the "Variety" characteristic of Big Data?Question 30Answera.The speed at which data is generatedb.The trustworthiness of datac.The different types and sources of datad.The value derived from data analysis
Large _____ of data is considered as big data.Question 25Answera.Volumeb.Veracityc.Varietyd.None of the mentioned above
Define Big data and discuss its basic characteristics?
Which of the following is a defining feature of big data analytics that distinguishes it from previous methods for managing large data sets?A.Collecting and storing large volumes of dataB.Processing and analyzing data in a timely mannerC.Ensuring data quality and reliabilityD.Protecting data privacy and securityE.Visualizing and presenting data effectively
What defines Big Data?Question 31Answera.Volume, Veracity, Valueb.Value, Versatility, Volumec.Volume, Variety, Velocityd.Veracity, Velocity, Value
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