Data modeling: Geographic Information Systems

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Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

Covers SQL data definition, manipulation, and views in databases.

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

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

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

Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.

Covers the fundamentals of data, cloud storage, and the Internet of Things.

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

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.