Answer:
Studying in groups can have many effective outcomes and be beneficial. Here are some ways studying in a group is benefical,
1. More support, limits chances of procrastination
<u> With many people, everyone is assigned a role or there is more determination by all peoples to get the work done than an individual being the only one responsible than many trying to accomplish the completion of the project. </u>
2. More people means more parts can get done effectively and taking notes is easier.
<u> More people allow the work (depending on the project of assignment) for the work to get more focused and worked on faster with the designated roles given. </u>
3. More interactive and allows (sometimes an enjoyable times) and to even learn faster than independently.
People, not all however, might like the company, there's support and even people skills is enhanced by being in the group.
This is normal as personal computers, unless designed to, don't usually put out a ton of power it's mostly just what your battery need and a bit more that's it
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Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
