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Lecture
Data Modeling: Concepts and Applications
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Related lectures (32)
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Introduction to Database Systems
Covers the basics of database systems, including data modeling, DBMS, data independence, and the course overview.
DDL, DML, Views
Covers SQL data definition, manipulation, and views in databases.
Big Data Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.
Relational Model: Basics
Covers the basics of the relational model in database management systems, including data models, primary and foreign keys.
Distributed Information Systems: Overview and Models
Covers Distributed Information Systems, key tasks, methods, projects, evaluation, and exam support.
Data modeling: Geographic Information Systems
Introduces data modeling in the context of Geographic Information Systems, covering the added value and methods used.
Introduction to Applied Data Analysis
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Data Science for Engineers: Part 2
Explores data manipulation, exploration, and visualization in data science projects using Python.
Data Management: Efficient Storage and Indexing
Covers efficient data storage, indexing, and management in databases.
Querying a database: the SQL language
Covers the SQL language for interacting with databases through structured queries, including selecting, filtering, aggregating, and sorting data.
