Mastering Data Modeling Fundamentals
Entity-Relationship Techniques and Best Practices
4.49 (12684 reviews)
55 873
students
3 hours
content
Mar 2020
last update
$84.99
regular price
What you will learn
Master the techniques needed to build data models for your organization.
Apply key data modeling design principles through both classic entity-relationship notation and the “crow’s foot” notation.
Build semantically accurate data models consisting of entities, attributes, relationships, hierarchies, and other modeling constructs.
Convert conceptual data models to logical and physical data models through forward engineering.
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Our Verdict
Mastering Data Modeling Fundamentals offers a solid overview and understanding of the basics of data modeling. The course excels in explaining historical and broad perspectives and providing clear examples that help learners grasp fundamental concepts. However, it lacks depth in certain areas and could benefit from more real-world examples and in-depth explanations in some sections. Nevertheless, its clear audio, illustrations, and experienced instructor contribute to an insightful learning experience for those looking to familiarize themselves with data modeling.
What We Liked
- Covers historical and broad view of Data Modeling with clear explanations of concepts.
- Provides very good and understandable examples to explain fundamentals of conceptual level data modeling.
- Instructor is knowledgeable, experienced, and explains simple yet insightful examples.
- Clear audio and illustrations enhance understanding of the subject matter.
Potential Drawbacks
- Lacks in-depth information, could benefit from greater depth and real-world examples.
- Occasional mistakes in lectures and misplaced assignments may cause confusion to learners.
- Some learners might appreciate more sophisticated practical examples throughout the course.
- No introduction of data modeling software at the beginning, which some students found challenging.
Related Topics
2767896
udemy ID
19/01/2020
course created date
02/05/2020
course indexed date
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