21-30

Question 1

Data Warehousing

Answer 1

It involves centralising and analysing large amounts of data from multiple sources to help businesses make decisions.

Question 2

Big Data

Answer 2

Extremely large and diverse collections of structured, unstructured, and semi-structured data that continue to grow exponentially over time.

Question 3

Structured Data

Answer 3

Data that has a standardised format for efficient access by software and humans alike. It is typically tabular with rows and columns that clearly define data attributes.

Question 4

Unstructured Data

Answer 4

Information that doesn’t fit into a standard format. Binary files, images, videos, and audio files

Question 5

Semi-Structured Data

Answer 5

A type of data that’s a combination of structured and unstructured data and is easier to analyse than unstructured data. JSON files, emails, NoSQL databases.

Question 6

Data Quality

Answer 6

Measure of how well a dataset meets the standards for accuracy, completeness, consistency, reliability, and timeliness

Question 7

Data Governance

Answer 7

It refers to how we manage and protect our data.

Question 8

Data Privacy

Answer 8

The practice of protecting personal information and ensuring that individuals have control over how their data is used, shared, and accessed.

Question 9

Data Security

Answer 9

Keeping the data itself safe, for example, from hackers and other people trying to access the data and steal it.

Question 10

ETL

Answer 10

ETL stands for “Extract, Transform, and Load” and describes the set of processes to extract data from one system, transform it, and load it into a target repository.