Which of the following is true of Big Data?

Question

A. Big Data refers to data sets that are at least a petabyte in size
B. Big Data has low velocity, meaning that it is generated slowly
C. Big Data can be processed using traditional techniques
D. Big Data analysis does not involve reporting and data mining techniques

Answer 1

The correct answer is option A (Big data refers to data sets that are at least a petabyte in size). Big data is normally referred as the large volume of data like petabyte and exabyte in size (1 petabyte = 1,00,000 GB). Big data is generally a data of billions of trillions of records from different sources like web, sales, social media. In case you want to learn Big data, I recommend signing up for Big Data Course by Intellipaat.

Answer 2

The correct answer is A. Big Data refers to data sets that are at least a petabyte in size

Let’s analyze each option one by one:

A. Big Data refers to data sets that are at least a petabyte in size 

This statement is accurate as big data involves large volumes of data that should be at least a petabyte in size.

B. Big Data has low velocity, meaning that it is generated slowly

This statement is not accurate at all because big data often involves high velocity, which means the data is generated and processed rapidly.

C. Big Data can be processed using traditional techniques. This statement is incorrect, as the traditional data processing techniques are usually insufficient for big data due to its scale and complexity. Nowadays, big data can be processed using specialized tools and frameworks like Hadoop and Spark.

D. Big Data analysis does not involve reporting and data mining techniques; this is not accurate at all, as big data often involves reporting and data mining to extract insights and present findings. These techniques are important for understanding large datasets.

Answer 3

None of the above statements are true of Big Data. 

 

Explanation 

A. Big Data is not a size, like a petabyte; it is big data sets that are complex and generated at rapid speed, beyond the ability of traditional processing tools. 

B. Big Data usually contains high velocity, that is, generated and collected at high speed. 

C. Big Data usually needs particular processing tools and frameworks such as Hadoop and Spark rather than traditional techniques. 

D. Big Data often requires data mining, reporting, and predictive analytics for the extraction of insights from it.