Scalable Multi-query Execution: Reinforcement Learning Approach

Related lectures (32)

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Explores how views simplify query writing and are key in data warehouses.

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

Explores the System-R Optimizer, query optimization, cost estimation, join orderings, and cardinality challenges in database systems.

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

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

Explores advanced reinforcement learning topics, including policies, value functions, Bellman recursion, and on-policy TD control.

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

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

Explores the elegance and challenges of transactions, including ACID properties and transactional memory benefits in concurrent programming.

Covers the basics of storage technologies and database system architecture.