The Data Modelling and Design course provides a comprehensive foundation for understanding and creating effective data models, which are crucial for developing robust databases and information systems. In Module 1, learners are introduced to the concept of modeling, exploring the reasons for modeling, project phases, model transitions, and function model terminology. This sets the stage for practical applications in data design.
Module 2 dives into creating the Entity-Relationship Model, a cornerstone of data modeling that helps define the structure of data and its interrelationships. Through lessons on identifying entities and relationships, as well as understanding relationship types and unique identifiers, students will learn how to create detailed and accurate ER models.
In Module 3, the course explores Normalization, a process vital for reducing redundancy and improving data integrity within databases. Learners will gain insights into Relational Database Principles and the transition from 0NF to 1NF, equipping them with the skills necessary to structure data efficiently.
Finally, Module 4 guides learners through the stages of Design and Implement Data Models, covering the transitions from analysis to design, from entities to tables, and the implementation of subtypes and supertypes. This includes lessons on denormalization and the transition of entity models to Unified Modeling Language (UML) class models.
Overall, this course will help learners master the art of creating structured, efficient, and maintainable data models, an essential skill in the field of data management and database design.
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prem Nidhi Sharma
An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience.
I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.
My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.
In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.
I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.
The Data Modelling and Design course equips participants with essential skills for efficient database structure creation and management.
This course offers a comprehensive understanding of Data Modeling and design, covering the creation of entity-relationship models, normalization, and the transition from model to implementation.
