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Lecture
Data Modeling: Overview
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Related lectures (16)
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Data modeling: conceptual model and entity-relation model
Covers the concept of conceptual model of data and entity-relation model.
Entity-Relationship Model
Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.
Data Modeling: Concepts and Tools
Covers data modeling in GIS and software engineering, including entity-relationship models, associations, and modeling tools.
Data modeling: Geographic Information Systems
Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.
Distributed Information Systems: Overview and Models
Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.
Relational Model: Basics
Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.
Data Modeling: Concepts and Applications
Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.
Data Modeling: Concepts and Applications
Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.
Handling Data: Intro to Pandas
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Database Management Systems: Fundamentals
Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.
