Data Modeling: Concepts and Tools

Related lectures (31)

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Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.

Covers the representation of mathematical models, functions, and data structures in information systems.

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Explores software engineering complexity, UML, DSL, design patterns, agile development, and introduces the Arcimboldo tool.

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.