Data Warehouses and Decision Support Systems

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Related lectures (32)

Page 1 of 4

Views: Simplifying SQL Queries

Explores views in SQL, covering creation, materialization, maintenance, cube building, and top-k queries optimizations.

Knowledge Representation: Semantics and Data Structures

Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.

Semantic Web: Modeling and Ontologies

Explores the Semantic Web, database schemas, XML data model, and ontologies.

Data Warehouses and Decision Support Systems

Explores data warehouses, decision support systems, OLAP, data lakes, multidimensional data models, and query optimizations.

OLAP Data Model: Multidimensional and Relational Approaches

Explains OLAP data models, focusing on multidimensional and relational approaches.

Semantic Web: Knowledge Graphs

Explores knowledge representation, information extraction, and the Semantic Web vision, emphasizing standardization, mapping, and ontologies in structuring data.

Views: SQL Queries Simplification

Explores how views simplify query writing and are key in data warehouses.

Entity-Relationship Model

Introduces the Entity-Relationship model for designing databases with a focus on conceptual and relational aspects.

Data Wrangling with Hive: Managing Big Data Efficiently

Covers data wrangling techniques using Apache Hive for efficient big data management.

NoSQL Databases: Origins and Types

Covers the origins and types of NoSQL databases, focusing on MongoDB and CRUD operations.