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Designing Data Services and Data Models

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Module 1: Course Overview

  • Business Solutions Design Curriculum
  • Overview of This Course
Skills
  • Describe how the course fits into the entire Business Solutions Design Curriculum.
  • Describe how you will use the case study to apply the principles you will learn in the course.
Top

Module 2: Solution Design Processes

  • Design Processes
  • Services-Based Design
Skills
  • Explain design processes as they pertain to business solutions and data-centric solutions.
  • Explain the concepts and benefits of services-based design.
  • Identify phases in the project life cycle.
Top

Module 3: Using a Conceptual Design for Data Requirements

  • Investigation Process
  • Data Requirements
Skills
  • Describe the information investigation process.
  • Determine functional data requirement from use cases.
  • Identify non-functional requirements that will affect a solution’s design.
  • Identify data-related use cases and data requirements
  • Relate data requirements to conceptual design
Top

Module 4: Deriving a Logical Data Design

  • Logical Data Design
  • Entities and Attributes
  • Data Relationship
  • Entity/Relationship Modelling
Skills
  • Analyse data requirements to determine data entities and attributes.
  • Analyse data entities and attributes to determine their relationships.
  • Determine the cardinality and existence characteristics of a relationship.
  • Identify entity and attributes from data requirements.
  • Create an entity/relationship diagram.
  • Creating a logical data model.
Top

Module 5: Normalising the Logical Data Design

  • Implementing Entity Relationships
  • Normalisation Basics
Skills
  • Use primary and foreign keys to implement relationships between entities.
  • Explain the benefits of normalising entities.
  • Identify keys in the logical model
  • Normalise a table to third normal form.
Top

Module 6: Deriving a Physical Data Design

  • Physical Data Design
  • Implementing Relationships
  • Data Optimisation Techniques
Skills
  • Translate the logical data design to derive a physical data design for tables and fields.
  • Analyse data usage characteristics to optimise a physical data design.
  • Determine methods for implementing relationships in a physical data design.
  • Identify different optimisation techniques.
  • Determine the proper criteria for optimising a physical data design.
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Module 7: Implementing Data Integrity

  • Overview of Data Integrity
  • Implementing Data Integrity Requirements
Skills
  • Identify business rules that relate to data integrity.
  • Identify the data integrity requirement type to which a business rule applies.
  • Evaluate and determine a location for implementing data integrity.
  • List implementation techniques for a given data integrity requirement.
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Module 8: Designing Data Services

  • Overview of Data Services
  • Accessing Relational Data
  • Accessing Host-based Systems
Skills
  • Determine the role of data services for a business solution.
  • Describe considerations for distributing data access technologies.
  • List the primary considerations for choosing a data access technology.
  • List and describe Microsoft’s primary data access technologies.
  • Determine the appropriate data access technology for a business solution.
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Module 9: Data Storage Considerations

  • Choosing a Database Product
  • Data Storage Technologies
  • Data Storage Considerations
Skills
  • Identify different types of hardware and software technologies for implementing a data store.
  • Choose the appropriate of hardware and software technologies for implementing a data store.
Top
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Exams:

  • There are no exams directly associated with this course

Price Options ex VAT:

Classroom Training
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Distance Learning
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eLearning Options
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Book Learning
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£ 1185
(1683)
£ 674.00
(957)
- No Books Supported for Course at present

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Last Modified 01 May 2008