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Fundamental Course of Data Modeling (101 Level)
This comprehensive introductory course is designed to provide participants with a solid foundation in the fundamental principles of data modeling. Through a combination of theoretical concepts and practical applications, students will gain a deep understanding of databases, data models, and the data development process. The course covers key components of logical data model schema, explores business data models, and delves into various data modeling techniques. Participants will also learn about specific data modeling tools for SQL Server, as well as the application of data modeling in Salesforce, Power BI, and Oracle environments.
Introduction of Database, Data Model, and Data Development Process
Overview of databases and their significance
Understanding the basics of data models
Exploring the data development process and its stages
Components of Logical Data Model Schema
Entity-Relationship Diagrams (ERD) and their role
Attributes, keys, and relationships in a logical data model
Normalization and denormalization concepts
Business Data Model and Data Modeling Techniques
Developing a business data model
Techniques for effective data modeling
Best practices for creating a robust data model
Data Modeling Tools for SQL Server
Overview of SQL Server and its data modeling capabilities
Hands-on experience with data modeling tools
Practical examples and exercises using SQL Server tools
Data Modeling in Salesforce, Power BI, and Oracle
Utilizing data modeling in Salesforce for efficient data management
Integrating data modeling with Power BI for meaningful insights
Applying data modeling principles to Oracle databases
Throughout the course, participants will engage in hands-on exercises and real-world scenarios to reinforce their learning. By the end of this 101-level course, students will have gained the knowledge and skills necessary to embark on further studies in data modeling or apply their understanding in professional settings.
1. Introduction of database, datamodel and data development process
2. Components of logical data model schema
3. Business data model and data modeling techniques
4. Data modelng tools for SQL server
5. Data modeling in salesforce, power bi and oracle
Enroll now and learn today and be a data analyst !
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