Big Data Unit 2: The Big Data Environment

What is Big Data?

• Large amounts of structured data only

• Data manageable by traditional databases

• Large volumes of both structured and unstructured data

• Only numerical data

What are the three primary Vs of big data?

• Value, Velocity, Variety

• Volume, Velocity, Variety

• Volume, Variance, Visibility

• Variety, Veracity, Validity

Which big data V relates to data coming in rapidly and needing immediate processing?

• Volume

• Velocity

• Variety

• Veracity

What does "Variety" mean in big data terms?

• Data consistency

• Different formats and types of data

• Speed of incoming data

• Quality of data

Define "Veracity" in the context of big data.

• Volume of data

• Accuracy and reliability of data

• Diversity of data formats

• Speed of data generation

Big data can enhance decision-making by providing insights in:

• User preferences

• Forecasting

• Efficiency and logistics

• All of the above

Why is data visualization essential in big data analysis?

• It reduces data quality

• To aid non-specialists in interpreting complex data

• To slow down the decision-making process

• To store data more efficiently

Which is an example of two-dimensional data visualization?

• Dendrogram

• Scatter plot

• Node-link diagram

• Choropleth map

Scatter plots are an example of:

• Temporal visualization

• Network visualization

• Multidimensional visualization

• Hierarchical visualization

What is hierarchical data visualization best represented by?

• Dendrogram

• Scatter plot

• Dot map

• Histogram