Data Modeling Online Training Modules Overview

LOGICAL DATA MODELING TRAINING INTRODUCTION

• logical data modeling in requirements importance
• When to use logical data models
• Relationship b/w logical & physical data model
• Elements of a logical data model
• Read a high-level data model
• Data model prerequisites
• Data model sources of the information
• Developing a logical data model

PROJECT CONTEXT & DRIVERS

• Importance of the well-defined solution scope
• Functional decomposition diagram
• Context-level data flow diagram
• Sources of the requirements
• Functional decomposition diagrams
• Data flow diagrams
• Use case models
• Workflow models
• Business rules
• State diagrams
• Class diagrams
• Other documentation
• Types of modelling projects
• Transactional business systems
• Business intelligence & data warehousing systems
• Integration & consolidation of existing systems
• Maintenance of the existing systems
• Enterprise analysis
• Commercial off-the-shelf application

CONCEPTUAL DATA MODELING TRAINING

• Discovering the entities
• Defining entities
• Documenting an entity
• Identifying attributes
• Distinguishing b/w entities & attributes

CONCEPTUAL DATA MODELING-IDENTIFYING RELATIONSHIPS & BUSINESS RULES

• Model fundamental relationships
• Cardinality of relationships
• One-to-one
• One-to-many
• Many-to-many
• Is the relationship mandatory or optional?
• Relationships Naming

IDENTIFYING ATTRIBUTES

• Discover attributes for the subject area
• Assign attributes to appropriate entity
• Name attributes using established naming conventions
• Documenting attributes

ADVANCED RELATIONSHIPS

• Modeling many-to-many relationships
• Model multiple relationships b/w the same two entities
• Model self referencing relationships
• Model ternary relationships
• Identifying the redundant relationships

COMPLETING THE LOGICAL DATA MODEL

• Use supertypes & subtypes to manage complexity
• Use supertypes & subtypes to represent rules and constraints

DATA INTEGRITY THROUGH NORMALIZATION

• Normalize a logical data model
• First normal form
• Second normal form
• Third normal form
• Reasons for the denormalization
• Transactional Versace business intelligence applications

VERIFICATION & VALIDATION

• Verify the technical accuracy of a logical data model
• Using the CASE tools to assist in verification
• Verifying the logical data model using other models
• Data flow diagram
• CRUD matrix

Job Opportunities in Data Modeling

Who wouldn’t prefer a job that assures a fast paced global career, higher than average perks? The job opportunities in the domain of Data Modeling are quite plenty. And with the increase in the colossal demand for the qualified experts across the top industries, more & more number of aspirants are planning towards securing their career in this domain. And also in response to the whooping salary packages for the certified professionals in this domain most of the professionals who are working in other prominent technologies are working towards making a career transition into this domain.

Data Modeling Online Training by SacrosTek Systems will set you on the right career path of achieving success in this domain.

SacrosTek Systems offer certification programs for Data Modeling. Certificates are issues on successful completion of the course and the assessment examination. Students are requested to participate in the real-time project program to get first-hand experience on the usage and application of the Data Modeling. The real-time projects are designed by our team of industry experts to help students get best possible exposure to the Data Modeling and its applications.