Data model

Applied sciences
Computer engineering
Databases
Relational databases

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Related lectures (32)

Data modeling: conceptual model and entity-relation model

Covers the concept of conceptual model of data and entity-relation model.

Pega Platform Overview

Covers an introduction to Pega platform 8.5.3 and its key features.

Data Modeling: Concepts and Applications

Explores data modeling concepts, SQL implementations, and practical applications in handling missing data.

Database Systems: Challenges and Innovations

Explores challenges and innovations in database systems, emphasizing the need for efficient data management and adapting to modern hardware advancements.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Hydrology Modeling: Routing System

Covers the modeling of hydrological systems, focusing on the retention of floods and the example of the Routing System.

Document Structure

Explores regulated representation and the creation of coherent fictional spaces through annotations.

Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Data Science Fundamentals

Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.

Data Management: Overview

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

Relational Model: Basics

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

Large-scale SQL Processing

Introduces data frames as a space-efficient data representation with an extensible SQL-like language.

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