(Datenbanken II / Nicht-Standard-Datenbanken)
Description
Modern data management systems are used in a wide range of applications and fields. This class covers advance topics for managing multi-dimensional data and complex data types, and for distributed data management.
Objectives
In summary, after completing this course, students should be able to:
- discuss the structure of data, the oral of searching and key analysis operations
- apply techniques for managing and indexing data
- discuss information retrieval quality
- discuss the nature, indexing and ranking of multi-dimensional data
- discuss the principles of data warehousing
- discuss extensions to DBMS for managing non-traditional data
- work with spatial, unstructured and graph data
- apply techniques for scalable distributed data management with NoSQL
Contents
- Reading and presenting research literature in data management
- Understanding data and their operations
- Multi-dimensional data and Data Warehouses
- Spatial data management
- Text data management
- Graph data management
- Scalable data management and NoSQL