Data-Intensive Systems: Relational Model and Algebra

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Related lectures (32)

Page 1 of 4

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

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.

Database Management Systems: Fundamentals

Introduces the fundamentals of database management systems, covering relational model, storage options, data integrity, queries, and data manipulation languages.

Relational Databases: Fundamentals

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

Relational Model: Basics

Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.

Relational Algebra

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

Query Processing: Relational Operations and Models

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

Query Processing with Relational Operations

Covers query processing with relational operations, including query optimization and different join algorithms.

Relational Databases: Fundamentals and ACID Properties

Covers relational databases, transactions, and data consistency in the context of historical database typologies.

Query Operators: Joins and Query Processing Techniques

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