Lectures related to Data Modeling: Concepts and Tools

Data modeling: Geographic Information Systems

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

Data, big data, clouds and IoT

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

Data Modeling: Concepts and Applications

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

Entity-Relationship Model

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

Model Representation: Structures and Functions

Covers the representation of mathematical models, functions, and data structures in information systems.

Hydrology Modeling: Routing System

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

Distributed Information Systems: Overview and Models

Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.

Software Engineering: Methods and Tools

Explores software engineering complexity, UML, DSL, design patterns, agile development, and introduces the Arcimboldo tool.

Handling Data: Intro to Pandas

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

Data Modeling: Concepts and Applications

Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.

Data: Clouds and Things

Covers the fundamentals of data, cloud storage, and the Internet of Things.

Introduction to Database Systems

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

Data Wrangling with Hive: Managing Big Data Efficiently

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

Modeling Hydrological Systems: Routing and Flood Retention

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.

Knowledge Representation: Semantics and Data Structures

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

Introduction to Database Systems

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

Handling Data: Data Models and Wrangling

Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.

Relational Model: Basics

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

Digital Consultant: EPFL 2021

Explores the role of a digital consultant in developing innovative applications.

Data Management: Overview

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