Model Representation: Structures and Functions

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

Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.

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

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

Covers the basics of C++ standard library containers, algorithms, and iterators.

Explains the differences between mutable and immutable objects in Python, focusing on lists, sets, and their behaviors.

Introduces the relational model and algebra, essential for understanding data-intensive systems and effective database management.

Introduces Python programming concepts, focusing on dictionaries and classes, including their definitions, usage, and practical examples.

Covers the overview of information systems, data modeling, managing data, and the distinction between data and information.

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