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COURSE Title: DATA MODELING FOR THE APPLICATION DEVELOPER
Why This Course?

This seminar describes the trends in the evolution of application development in the information age. 

 

It describes how one can and must exploit today's information technology for competitive advantage applications.

     

You learn the emerging directions in information management and data modeling along with their ramification on application engineering and information resource development. 

 

You learn characteristics of a value-centric application architecture and approach that can reduce the cost of application development while increasing the quality of applications.

Learning Outcomes:

Upon completion of this seminar, you will be able to:

  • Describe what conceptual data modeling is and why it is required
  • Describe the goals and objectives of a shared data environment
  • List the functions and responsibilities of DA as it relates to application development
  • Describe the required value-centric development tasks in the application development life cycle
  • List the components of a strategic automation architecture
  • Define subject areas as a mechanism for organizing the information resources of an enterprise
  • Describe elements of effective information management standards and procedures
  • Describe a business-driven entity-relationship model and how it reflects the enterprise view of its data
  • Describe normalization from a business viewpoint
  • Describe how to validate the stability of the conceptual data model
  • Identify and model entity types and subtypes
  • Describe techniques to model entity life cycles and business rules
Audience: Application developers, information systems management, project managers, systems analysts, systems engineers, data and information resource management, development center personnel, emerging technology personnel, information systems planners, and business analysts.
Format: Lecture with exercises to reinforce the concepts.
Duration: 2-3 Days
Pre-requisites: Experience in application development
Abstract: ABSTRACT: This seminar describes the trends in the evolution of application development in the information age. 

 

It describes how one can--  and must--  exploit today's information technology for competitive advantage applications.

     

You learn the emerging directions in information management and data modeling along with their ramification on application engineering and information resource development. 

 

You learn characteristics of a value-centric application architecture and approach that can reduce the cost of application development while increasing the quality of applications.

The Information Age: New Paradigms for Information Management
  • Information as a strategic resource
  • The requirement for new application development approaches
  • How the ?Resource management? approach impacts the ?systems approach?
  • How data models increase application developer productivity
Information Resource Management and Application Development As A Partnership
  • Principles of information management
  • The engineering approach to application development
  • The value-centric development life cycle
Enterprise Modeling and Application Development
  • Strategic automation architecture as a framework for integrated application development
  • Subject area data models
Conceptual Data Modeling: An Integrated Approach
  • Entity-relationship modeling: essential ingredients
  • Normalization as a business tool
  • Information views as a quality assurance mechanism
  • Flexibility and stability analysis
  • Architectures and their relationships
  • Critical success factors for information management
Value-centric Application Development
  • The ?information-based? approach versus the ?data flow? approach
  • Entity types and subtypes as redundancy management
  • Event-driven development and entity life cycles
  • Events and responding processes
  • Value-centric application architecture
  • Point-of-origin as data entry design
  • Stewardship and accountability for information quality
  • Implementing data integrity mechanisms
Transitioning a Conceptual Data Model for Physical Database Design
  • Model simplification principles
  • Transaction analysis and logical access maps
  • Index identification and data clustering
  • Type/subtype implementation
  • Entity life cycle implementation
  • The information warehouse
  • Principles for compromising the conceptual model

 


INFORMATION IMPACT International, Inc.
871 Nialta Lane, Suite 100, Brentwood, TN 37027
Phone: +1 615-837-1211 - Fax: +1 615-837-8804
Email: Larry.English@infoimpact.com


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