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Introduces relational query languages, focusing on algebra operators and query optimization.
Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.
Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.
Covers query optimization, from logical to physical plans, including query transformation and cost estimation.
Introduces binary relations, functions, and various types of relations in sets.
Explores query processing steps, physical plans, pipelined execution, and hashing for projections and joins.
Covers raster-raster integration, map algebra, NDVI calculation, and terrain analysis using relational and logical operators.
