Relational databases

Related lectures (32)

Page 3 of 4

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.

Explores relational algebra equivalences for optimizing query performance through efficient tuple generation and join operations.

Covers SQL data manipulation language, including DDL and DML commands.

Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.

Discusses file systems, focusing on data organization, indexing techniques, and their impact on database performance.

Covers the fundamentals of data, cloud storage, and the Internet of Things.

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

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

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