Moses - Data Warehousing and Business Intelligence

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Module / Version:
#40399 / #8

Validity:
SoSe 2021 - WiSe 2021/22

Default display language:
English

Module title:
Data Warehousing and Business Intelligence

Credits:
6

Responsible person:
Markl, Volker

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Softwaretechnik und Theoretische Informatik

Area of expertise:
34351500 FG Datenbanksysteme und Informationsmanagement (DIMA)

Prüfungsausschuss:
No information

Kontakt

Office:
EN 7

Contact person:
Soto, Juan

E-mail address:
sekr@dima.tu-berlin.de

Website:

http://www.dima.tu-berlin.de

Learning Outcomes

Data Warehouses (DWH) store big amounts of data in databases designed with a focus in data analysis. Business Intelligence is the process of extracting information from DWH with the purpose of enabling decision support. The lecture introduce these topics with an emphasis in data analysis. In particular DWH architectures and components, differences between "normal" databases and DWH, integration of data in a DWH, the multidimensional data model as well as selected methods for analysis in relational DWH. The previous topics will be put in practice with the help of relational database management system (DBMS) (for example IBM DB2 or Business Objects XI 3.0).

Content

The comprehensive thematic of this course is organized in three blocks. In the first block the development and management methods for DWH in relational databases are presented (architectures, ETL-process, OLAP operations, Bitmap-index). In the second block complex topics in relation to data analysis and exploration are examined in more detail (multidimensional data model, logic modeling, view materialization, etc.). In the last block, current research questions (Cloud, TextAnalytics) and practical experience (invited expert in the field) are addressed.

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Data Warehousing und Business Intelligence	IV	0434 L 462	WiSe	English	4

Workload and Credit Points

Data Warehousing und Business Intelligence (IV):

Workload description	Multiplier	Hours	Total
			180.0h(~6 LP)
Home Exercises	1.0	60.0h	60.0h
Labs Exercises	15.0	1.0h	15.0h
Lecture	15.0	3.0h	45.0h
Preparation and Consolidation	15.0	3.0h	45.0h
Preparation of the written exam	1.0	15.0h	15.0h

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The theoretical part of the course will be covered in weekly lectures, together with practical exercises and tutorial sessions to strengthen the content. Homework exercises to improve the acquisition of theoretical concepts as well as practical experience with a DBMS. Both the text book and supplementary literature for this course are in English language.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Prerequisites: Bachelor-students in the 5. Semester with special interest in Databases and Information systems. Students that have approved the courses: MPGI5 (Datenbanksysteme) and DBPRA (Datenbankpraktikum) or students with similar background. The course will be given in English language, thus fluency in English is required!

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points in total

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) Solution of practical exercises	30	written	10h per exercise (6x) / about 3 pages
(Examination) Written Test first block (DWH)	35	written	75 minutes
(Examination) Written Test second block (BI)	35	written	75 minutes

Grading scale

1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
95.0	90.0	85.0	80.0	75.0	70.0	65.0	60.0	55.0	50.0

Test description (Module completion)

The final grade according to § 47 (2) AllgStuPO will be calculated with the faculty grading table 2. (Die Gesamtnote gemäß § 47 (2) AllgStuPO wird nach dem Notenschlüssel 2 der Fakultät IV ermittelt.)

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Students are required to register via the DIMA course registration tool before the start of the first lecture (http://www.dima.tu-berlin.de/). Within the first six weeks after commencement of the lecture, students will have to register for the course at QISPOS (university examination protocol tool) and ISIS (course organization tool) in addition to the registration at the DIMA course registration tool.

Recommended literature
[1] C. S. Jensen, T. B. Pedersen, C. Thomsen. Multidimensional Databases and Data Warehousing. Morgan and Claypool Publishers. 2010
[2] R. Kimball, et al.: The Data Warehouse Lifecycle Toolkit, Wiley, 1998.
[3] W. H. Inmon: Building the Data Warehouse. 4th Edition, Wiley, 2005.

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous