Topic 1: Introduction to Big Data Analytics

Which of the following typically create large sets of data?

• Search Engines

• Hospitals

• Social Media Sites

• All of them

• Which of these is among the 6Vs of data?

• Variety

• Virtually

• Versatile

• Vacuum

Which of the following are examples of quasi-structured data?

• XML Data

• JSON Data

• Clickstream data

• Google Search results

• Any Website web page data for scrapping

Where does the real value of big data often come from?

• • Having data-enabled decisions and actions from the insights of new data.

• Combining streams of data and analyzing them for new insights.

• • Size of the data.

• • Using the three major data sources: Machines, People, and Organizations.

Which of the following are reasons mentioned for why data generated by people are hard to process?

• • They cannot be modeled and stored.

• The velocity of the data is very high.

• Very unstructured data.

• Skilled people to analyze the data are hard to come by.

Amazon has been collecting review data for a particular product. They have realized that almost 90% of the reviews were mostly a 5/5 rating. However, of the 90%, they realized that 50% of them were customers who did not have proof of purchase or customers who did not post serious reviews about the product. Of the following, which is true about the review data collected in this situation?

• • High Variety

• • Low Variety

• • Low Volume

• • High Veracity

• • Low Veracity

What are the challenges of data with high variety?

• • Hard to perform emergent behavior analysis.

• • The quality of data is low.

• • Hard in utilizing group event detection.

• Hard to integrate.