Query Optimization: Improving Database Performance

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Data-Intensive Systems: Relational Model and Algebra

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

Query Optimization: Introduction and Equivalences

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

SQL Client-Server Architecture + IDE

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

Relational Query Optimization

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

Conditional Queries: Overview

Covers the functioning of conditional queries based on the WHERE clause.

Relational Algebra and SQL: Foundations of Database Management

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

Relational Model: Basics

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

Block-oriented Execution: Query Processing in Database Systems

Explores block-oriented query processing in databases, emphasizing materialization challenges and optimized execution for data-intensive applications.

Materialization Problems in Database Systems

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

Introduction to Database Systems

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