Scalable Multi-query Execution: Reinforcement Learning Approach

Related lectures (32)

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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.