Syllabus
Data types and models
Data preprocessing
Data catalogization, metadata, data versioning
Data integration
Data vocabulary, ontology
Data APIs
Text search
Information theory
Data encoding and compression
Encryption and ensuring integrity
Management of distributed and large data
Annotation
The goal of the Data Management course is to give an overview of commonly used operations and techniques in a typical data processing process.
This includes data retrieval, cleaning, transformation, validation, catalogization, versioning, documentation, publication via API, integration, search, compression, encryption, and working with large and distributed data.