Entity–attribute–value model

Applied sciences
Computer engineering
Databases
Relational databases

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Related lectures (12)

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

Entity-Relationship Model

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

Data modeling: Geographic Information Systems

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

Semantic Web: Knowledge Representation

Explores Semantic Web concepts, RDF syntax, and knowledge representation using RDF statements and Schema.org.

Data Modeling: Concepts and Applications

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

Relational Databases: Fundamentals

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

Data Warehouses and Data Lakes

Covers data warehouses, data lakes, OLTP vs. OLAP, data quality, and the Data Lakehouse concept.

Query Operators: Part 1

Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Efficient GPU Join Optimization

Discusses efficient GPU-accelerated join optimization for complex queries, aiming to improve optimization times and heuristic plan quality.

Query Processing: Relational Operations and Models

Discusses query processing models and relational operations, focusing on selections, projections, and joins in data-intensive systems.

Querying a database: the SQL language

Covers the basic principles of the SQL language and selection requests.

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