Pearson · Information Technology 2016 NQF · Unit 5 Data Modelling

Here are the best resources to pass Unit 5 Data Modelling at Pearson. Find Unit 5 Data Modelling study guides, notes, assignments, and much more. We also have lots of notes, study guides, and study notes available for Information Technology 2016 NQF at Pearson.

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(Distinction*) Unit 5 Learning aim A: Investigate data modelling and how it can be used in the decision-making process
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Deadline? Coursework coming up? No stress! A presentation evaluating the role of data modelling in the decision-making process..Before you can design or create a spreadsheet to meet client requirements, you need to understand what data modelling is and how it is used. This section takes you through the stages in the decision-making process before moving on to the spreadsheet features that you will use to create your data models. Data modelling is used to help consider alternative choices. You wi...

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(Distinction*) Unit 5:Data Model Excel Spreadsheet
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Deadline? Coursework coming up? No stress! Before you can design or create a spreadsheet to meet client requirements, you need to understand what data modelling is and how it is used. This section takes you through the stages in the decision-making process before moving on to the spreadsheet features that you will use to create your data models. Data modelling is used to help consider alternative choices. You will find out how to evaluate models and how to document your choices, justifying your ...

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(Distinction*) Unit 5: Learning aim C Develop a data model to meet client requirements
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Deadline? Coursework coming up? No stress! A functional specification, design documentation, spreadsheet development and testing logs. A report that evaluates the effectiveness of the alternatives considered, and suggests ways in which the alternatives could be improved if the task were to be repeated. This unit will be assessed internally by means of a series of assignments set by your tutor. Throughout this unit, you will find assessment practice activities that will help you work towards your...

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(Distinction*) Unit 5: Learning aim B: Design a data model to meet client requirements
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Deadline? Coursework coming up? No stress! A practical activity, involving the design and development of a data model to fulfil identified client requirements. This unit will be assessed internally by means of a series of assignments set by your tutor. Throughout this unit, you will find assessment practice activities that will help you work towards your assignments. Completing these activities will not mean that you have achieved a particular grade, but you will have carried out useful research...

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Unit 5 - Data Modelling (ALL THAT IS NEEDED)
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This Bundle includes all 3 assignments of Unit 5 - Data Modelling. The essays have the correct content, structure and layout needed to achieve the highest grade possible. Please follow the content and be double checking carefully as this will allow those to easily achieve distinction grade much quicker than ever.

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  • uploaded  09-02-2020
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Unit 5: Data Modelling - Assignment 2 & 3 (Learning Aim B & C) (All Criterias Met)
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This essay/assignment covers Unit 5 - Data Modelling Assignments 2 and 3 with all criterias met to achieve the highest grade (Distinction) along with correct structure. Just follow the content step by step to save time and also to reduce complexity. Note: This will support those in achieving distinction in an effortless way where possible. Criteria covered: Learning Aim B: P3: Produced designs for a data model which meet client requirements. P4: Reviewed the designs with others, to ident...

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  • by johnatkinson • 
  • uploaded  26-01-2020
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Unit 5: Data Modelling - Assignment 1 (Learning Aim A) (All Criterias Met)
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This essay/assignment covers Unit 5 - Data Modelling Assignment 1 with all criterias met to achieve the highest grade (Distinction) along with correct structure. Just follow the content step by step to save time and also to reduce complexity. Note: This will support those in achieving distinction in an effortless way where possible. Criteria covered: Learning Aim A: P1: Explained the stages involved in the decision-making process for data modelling. P2: Explained how the features of spread...

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  • uploaded  26-01-2020
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