Adaptive Sharing in Analytical Databases

Related lectures (32)

Page 3 of 4

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

Covers the basic principles of the SQL language and select queries.

Covers the architecture of a typical DBMS and SQL interfaces like SQL Developer and DataGrip.

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

Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.

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

Introduces relational query languages, focusing on algebra operators and query optimization.

Explores the iterator model in query processing for database systems, focusing on tuple-at-a-time execution and interpreted expression evaluation.

Explores data perturbation for privacy protection in database systems, including aggregate reconstruction and its application in data mining.

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.