Data Perturbation: Protecting Privacy in Database Systems

Related lectures (32)

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Discusses advanced query operators, focusing on join techniques and their processing methods in relational databases.

Discusses materialization challenges in databases, query execution strategies, and performance implications.

Explores cost-based query optimization in database systems, covering cost estimation, selectivity estimation, and join cardinality.

Introduces the relational model and relational algebra, focusing on SQL and its operations for effective database management.

Explores heuristic-based optimization using the INGRES database system example.

Covers efficient GPU-accelerated join optimization for complex queries, focusing on improving optimization times and heuristic plan quality.

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

Explores query optimization fundamentals, heuristics-based optimizers, cost estimation, and decision-making impact on performance and scalability.

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

Explores privacy technologies, data protection, surveillance risks, and Privacy Enhancing Technologies for social and institutional privacy.