BDE - Lesson 1

The first three V's that defined Big Data were...

• Volume, Value and Velocity

• Volume, Velocity and Variety

• Volume, Variety and Value

• Velocity, Variety and Validity

Variety refers to the fact that we moved from mostly structured data to mostly unstructured data

• True

• False

Validity and Veracity are key features to be able to extract Value

• True

• False

The objective to use Big Data tools is to move from Data and Information to Knowledge

• True

• False

Answer explanation

The main objective is to make the leap from Data to Information and Knowledge.

Artificial intelligence is key to extract the variability of the data

• True

• False

Answer explanation

AI is key to extract the value of the data (information and knowledge)

Scalability can be defined as the impact of an increase in the training set on the computational performance of an algorithm in terms of accuracy, training time and allocated memory

• True

• False

Working with Big Data requires...

• Data management techniques

• Statistics and machine learning

• Quality estimation and identification of biases

• All are correct

To store and process the data we need hardware management, storage and processing

• True

• False

One of the challenges in Big Data is poor data quality, which can negatively affect AI applications

• True

• False

Answer explanation

Insufficient or poor-quality data can limit the effectiveness of AI applications.

Which of the following is NOT a factor contributing to the origin of Big Data?

• Advances in network technologies

• The invention of blockchain

• Cloud computing

• Internet of Things (IoT)