Conditional Queries: Overview

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

Data-Intensive Systems: Relational Model and Algebra

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

Query Processing: Relational Operations and Models

Discusses query processing models and relational operations, focusing on selections, projections, and joins in data-intensive systems.

Query Fusion, Nested Queries

Covers query fusion, nested queries, and SQL operators in a geographical context.

SQL Client-Server Architecture + IDE

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

DBMS Principles and Operators

Covers the fundamentals of DBMS, relational algebra operators, and their importance in managing large datasets.

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 Databases: Fundamentals

Covers relational and spatial databases, including storage, management systems, ACID properties, historical typologies, primary and foreign keys, and spatial functions.

Introduction to Streams

Covers data streams, real-time analytics, challenges, data stream model, and efficient management.

Query Operators: Joins and Query Processing Techniques

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