Data modeling: Geographic Information Systems

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Related lectures (32)

Page 1 of 4

Covers data modeling in GIS and software engineering, including entity-relationship models, associations, and modeling tools.

Relational Databases: Fundamentals

Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.

Relational Model: Basics

Introduces the relational model, SQL, keys, integrity constraints, ER translation, weak entities, ISA hierarchies, and SQL vs. noSQL.

Entity-Relationship Model

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

Data, big data, clouds and IoT

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

Database Management Systems: Fundamentals

Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.

SQL Queries and Syntax

Covers the basics of SQL, including components of the language and syntax of SELECT clause.

Relational Databases: Fundamentals and ACID Properties

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Introduction to Database Systems

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

Model Representation: Structures and Functions

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