Answer:
3. Granularity
Explanation:
Granularity's concept is representing the level of how do we store the data in our database.
If the data are detailed, we can resume the data until get a granularity more strong for our analysis.
For example:
We could store data year by year of our costumers, if want to get more granularity, we could store data month by month, also we could get specific data like how often our customers visit the business or how often our customers buy in a category product.
Computational thinking- the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer—human or machine—can effectively carry out. Computational Thinking is an iterative process based on three stages.
Problem solving process- The process of working through details of a problem to reach a solution. Problem solving may include mathematical or systematic operations and can be a gauge of an individual's critical thinking skills.
Data- facts and statistics collected together for reference or analysis.
Information- facts provided or learned about something or someone.
Algorithm- a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
Aggregate data- aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations. In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data.
Discovery Data- in the context of IT, is the process of extracting actionable patterns from data. The extraction is generally performed by humans or, in certain cases, by artificial intelligence systems.
Answer: I think it is a
Explanation:Sorry if it it is worng
