Lectures related to Scalable Multi-query Execution: Reinforcement Learning Approach

Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.

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

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

Delves into transaction management, concurrency control, and recovery in databases to ensure data integrity and system resilience.

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

Explores transaction management, concurrency control, ACID properties, anomalies, and conflict serializability in database systems.

Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

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

Covers data wrangling techniques using Apache Hive for efficient big data management.

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

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.