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Glossary

B

Big Data

Criticality: 3

Extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.

Example:

Analyzing all the posts, likes, and shares across a social media platform to understand user engagement patterns involves processing Big Data.

C

Cleaning Data

Criticality: 3

The process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.

Example:

Before analyzing survey results, a researcher might need to perform cleaning data to fix typos, standardize responses like 'USA' and 'United States', or remove incomplete entries.

Correlation ≠ Causation

Criticality: 2

A principle stating that just because two variables appear to be related (correlated) does not mean one causes the other.

Example:

Finding that ice cream sales and shark attacks both increase in summer shows a correlation, but eating ice cream doesn't cause shark attacks.

D

Data Bias

Criticality: 3

A systematic error in a data set that skews results in a particular direction, often due to flawed collection methods or inherent societal prejudices.

Example:

If a survey about smartphone preferences is only given to teenagers, the results will have data bias because they won't represent the preferences of all age groups.

Data Center

Criticality: 2

A dedicated physical facility used to house computer systems and associated components, such as telecommunications and storage systems.

Example:

Major tech companies often build enormous data centers in remote locations to store and process vast amounts of user data securely.

I

Information

Criticality: 3

Data that has been analyzed and processed to reveal trends, connections, or solutions, making it meaningful and useful.

Example:

When a weather app processes raw temperature and humidity readings to tell you it will be information that it's going to rain tomorrow, that's information.

M

Metadata

Criticality: 3

Data that provides information about other data, describing its content, context, and characteristics.

Example:

The date a photo was taken, the camera model used, and any tags added to it are all examples of metadata for that image file.

S

Scalability

Criticality: 3

A system's ability to handle a growing amount of work or its potential to be enlarged to accommodate that growth.

Example:

A popular online game needs good scalability to ensure it can handle a sudden surge of new players without crashing or slowing down.

Server Farm

Criticality: 2

A large collection of computer servers networked together to provide the server functionality much beyond the capability of a single machine.

Example:

To handle millions of users simultaneously streaming videos, a company would rely on a massive server farm to process all the requests.