Data Warehouses and Decision Support Systems

Related lectures (32)

Page 2 of 4

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

Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.

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

Introduces OLAP concepts, schemas, queries, and optimizations for efficient data analysis.

Explores Nexus Forge, a tool for creating and utilizing knowledge graphs effortlessly.

Covers SQL data definition, manipulation, and views in databases.

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

Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.

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

Explores data representation, databases, cloud computing, and challenges in the cloud environment.