Udemy – Data Modeling and Database Development [2024] 2024-8

Apr 18, 2025 - 17:55

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Data Modeling and Database Development [2024] This course takes you on a journey through the fundamentals and advanced techniques of data modeling, from conceptualization to implementation. Whether you are a beginner or an experienced data professional, this course will equip you with the knowledge and skills you need to design efficient, scalable databases that meet the needs of modern businesses. Throughout the course, you will learn how to use industry-standard techniques and tools to create clear and concise data models. From understanding the basics of entity-relationship modeling to mastering the intricacies of normalization and optimization, you will gain a deep understanding of the entire data modeling process.

What you will learn in the Data Modeling and Database Development [2024] course

Understand the basic principles, concepts, and terminology associated with data modeling. Learn how to design and create well-structured databases that efficiently store and manage data.
Understand the normalization process and its various forms (1NF to 5NF) to ensure data integrity and minimize redundancy in the database
Learn the difference between conceptual, logical, and physical data models and how to create each type.
Understand industry best practices for data modeling, including naming conventions, documentation standards, and design considerations.
Learn how to effectively document data models, including entity definitions, attribute details, relationships, constraints, and other relevant information.
Ability to collaborate with stakeholders, communicate effectively, and translate business needs into data models.

This course is suitable for people who:

Individuals who are new to data modeling and database design will build a solid foundation in data modeling principles, techniques, and best practices.
Individuals with experience in data modeling will gain a deeper understanding of advanced concepts such as normalization, dimensional modeling, and optimization, allowing them to undertake more complex data modeling projects.
Database Administrators, who are responsible for designing, implementing, and maintaining databases, will develop their skills in creating efficient and scalable database designs, optimizing performance, and ensuring data integrity.
Professionals who work with large data sets for analysis, reporting, and decision-making will benefit from understanding how data models are structured and organized, improving their ability to access and manipulate data effectively.
Developers involved in building applications that interact with databases will learn how to design database schemas that meet the needs of their applications and improve the overall performance and reliability of their software.
Analysts responsible for gathering and documenting business requirements will gain insights into translating business needs into data models and facilitate better communication between technical and non-technical stakeholders.