Course benefits:
Any organisation wishing to manage its data as a corporate asset will
consider, and possibly initiate, the development of a corporate data
model as part of its data administration initiative.
Traditionally, the size and complexity of a corporate data model has
reflected the size and complexity of the organisation. This very size
and complexity have made it extremely difficult to develop a corporate
data model which is both stable and delivered in sufficient time to
influence system design. Consequently, corporate data modelling has
unjustly earned a poor reputation.
A clear understanding of the pitfalls likely to be encountered when
developing a corporate data model along with strategies, which can be
used to overcome the problems, will substantially improve the chances
of success.
Who should attend:
This course is suitable for:
- Data Managers and Data Administrators
- Business and Data Analysts
- Repository Administrators
Prerequisites:
The course assumes a basic knowledge of data modelling techniques and
the role of a data administration function.
What you will learn:
This course teaches practical and effective approaches to the development
of a corporate data model in order to underpin the sharing of data and
information between separately developed systems and to reduce overall
system costs.
On successful completion of the course, attendees will be able to:
- Plan for, and develop, a corporate data model
- Describe and discuss the relationships between a corporate data
model and the system life cycle
- State the principles that underpin the development of a successful
corporate data model
- Define and discuss the merits of different data modelling notations
- Define and discuss the requirements for supporting tools and standards
What you will cover:
- The role of a corporate data model - Why a corporate data model
is needed; the corporate data model as an expression of the business
and as the basis for database designs
- Corporate data modelling principles - The essential requirements
and principles underpinning the development of a corporate data model
capable of leading to sharable and flexible, yet stable, database
designs
- Techniques employed in corporate data modelling - Options for starting
the development of a corporate data model; advanced data modelling
techniques useful in corporate data modelling
- The relationship between a corporate data model and the system life
cycle - How new and legacy projects relate to the corporate data model;
relationship to object oriented methods and rapid application development
- Supporting tools and standards - Selecting dictionaries, repositories
or CASE tools; selecting appropriate data modelling notation; use
of naming standards and meta data models.
How you will learn:
This course comprises short and focused lecture sessions with supporting
exercises. Problems and issues are also discussed. Real life examples
are used to highlight the principles. The course benefits from experience-based
instruction.
Duration and availability:
Two days non-residential. In-house only.
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