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Data Modeling Using ERWin

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Course type: Online Instructor led Course


Course ID: 28585

Course type: Online Instructor led Course


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Sreekanth picture

B.E in Computer Science and Engineering

6 Years of Experience

About Sreekanth

Sreekanth has 6 years working experience for an MNC on .NET for 1 year and MSBI for 5 years.

Sreekanth has 5 years experience in teaching.
Sreekanth can teach C#.NET, Sql server , SSIS, SSRS and SSAS.
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About the Course

Data Modeling course helps to convert the business requirements to the Data Model which includes the life cycle of data modeling.

Topics Covered

Data Modeling Course Outline

Database design and data modeling overview

Database design
Data modeling and methodologies
Conceptual, logical, and physical modeling

Logical Modeling

Building blocks, components, standards
Entities, attributes
Unique identifiers and access concepts
Keys – Primary, Foreign, Alternate, Surrogate
Normalizing the model

Object documentation

Model notation, definitions and descriptions
Extended data typing
Metadata creation

Audit and Validation

Syntactical validation
Conceptual validation
Practical approach to model auditing

Model Presentation

Enterprise Security Model
Subject Areas – business dimensions within a model
Stored Displays - organizing views in a model
Model Object Reporting
Report Template Builder deliverables
Model printing

Advanced Data Modeling

Understand complex relations
Modeling for history
Referential integrity
Resolve many to many relationships
Build entity type hierarchies
Build recursive relationships
Independent attributes

Physical Modeling

Logical/Physical model implementation considerations
Defining physical properties
Referential integrity constraints
Maintaining referential integrity

Building and maintaining a database

Business Views
Physical model forward engineering
Database reverse engineering
Comparing a model to a database
Modifying an existing database through the model
Forward Engineering Templates


Types of Dimensions
Types of Facts
Schemas and Types of Schemas
Identifying Dimensions and Facts for Modeling
Implementation of Dimension Modeling

Who should attend

Database Developers and who are interested to be a DataModeler



What you need to bring

I will provide all the required knowledge, please get your notepad's to make key points.

Key Takeaways

Very good Knowledge on DataModeling and Handson exp on DataModeling with more than 3 case studies which includes realtime project requirement documents.


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Students Interested 0 (Seats Left 0)

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