Deel 3

Question 1

Streaming analytics is..

Answer 1

based on the location of the data that is being processed

Question 2

Types of streaming analytics and definitions

Answer 2

• Edge: data collected within device (sensor)
• In-stream: data collected between device and server (network security logs)
• At-rest: data collected at rest (database of customer information)

Question 3

Data scientists need .. to be suitable

Answer 3

Computer science, mathematics, domain expertise

Question 4

Data-driven organizations

Answer 4

Drive towards a data culture, where access to data is needed and data-driven decision making is expected.

Question 5

Data quality issues:

Answer 5

• Noisy data: contains a large amount of misleading information
• Dirty data: contains missing/error values
• Sparse data: contains very few actual values
• Inadequate data: incomplete data

Question 6

Clean data may contain too many features to modeled efficiently (Curse of Dimensionality). Some processes to adress this issue are:

Answer 6

• Feature extraction: combining features into a smaller set of features
• Feature selection: selecting the most meaningful features
• Feature engineering: combining excisting features in a data set with external features

Question 7

A powerful secure computing infrastructure enables data scientists..

Answer 7

to cycle through multiple data preparation techniques and different models to find the best solution