Big Data Characteristics

What does Volume mean in the context of Big Data?

• The speed at which data is generated

• The diversity of data types

• The massive amount of data

• The accuracy of data

Data that comes in forms like images, videos, text, and audio falls under which Big Data characteristic?

• Volume

• Variety

• Velocity

• Value

Velocity in Big Data refers to the speed at which data is processed and analyzed.

• True

• False

What is the main challenge of the Veracity characteristic in Big Data?

• The diversity of data formats

• The speed of data processing

• The accuracy and trustworthiness of data

• The large size of the data

What is the key idea behind the Value characteristic of Big Data?

• Data must be easy to process

• Data must be easy to process

• Data only comes from one source

• Data must only be in text format

Which of the following are part of the 5 V's of Big Data?

• Volume

• Velocity

• Variety

• Validation

In Big Data, (a)   refers to the speed at which data is generated and processed.

Which of the following is an example of Volume in Big Data?

• Data from IoT sensors being updated every second

• Uploading 100,000 photos to Instagram in one minute

• Data in various formats such as text and videos

• False information within the data

Unreliable or inaccurate data is a key issue under which Big Data characteristic?

• Velocity

• Veracity

• Variety

• Value

All data in Big Data automatically provides Value for businesses.

• True

• False