Data Warehouse Architecture und LSA. Trends in Business Intelligence


Term Paper, 2015

16 Pages, Grade: 1,7


Excerpt


Inhaltsverzeichnis

Abbildungsverzeichnis

1. Die Architektur eines Data Warehouses
1.1. Einführung Data Warehouse Systeme
1.2. Persistent Staging Area
1.3. Data Warehouse
1.4. Data Mart
1.5. Operational Data Store

2. Schichtenarchitektur eines Data Warehouse (LSA)
2.1. Überblick: Schichtenarchitektur
2.2. Data-Acquisition-Schicht
2.3. Quality-And-Harmonisation-Schicht
2.4. Data-Propagation-Schicht
2.5. Corporate Memory

3. Architected-Data-Mart-Schicht
3.1. Business-Transformation-Schicht
3.2. Reporting-Schicht
3.3. Viritualization-Schicht
3.4. Operational Data Store

4. LSA Datendomänen
4.1. Globale BW-Systeme

5. Info Sources in der LSA
5.1. Info Sources und BW-Systeme

6. Der Data Flow im SAP Business Warehouse

7. Fazit

Literatur- und Quellenverzeichnis

Excerpt out of 16 pages

Details

Title
Data Warehouse Architecture und LSA. Trends in Business Intelligence
College
University of Applied Sciences Stuttgart
Grade
1,7
Author
Year
2015
Pages
16
Catalog Number
V428778
ISBN (eBook)
9783668750098
ISBN (Book)
9783668750104
File size
931 KB
Language
German
Keywords
data, warehouse, architecture, trends, business, intelligence
Quote paper
Ivan Kurtovic (Author), 2015, Data Warehouse Architecture und LSA. Trends in Business Intelligence, Munich, GRIN Verlag, https://www.grin.com/document/428778

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