Moses - DBT: Database Technology

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2022 - WiSe 2022/23. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#40405 / #10

Validity:
SoSe 2022 - WiSe 2022/23

Default display language:
English

Module title:
DBT: Database Technology

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:
Zeuch, Steffen

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

Website:

https://www.tu.berlin/dima

Learning Outcomes

Data is omnipresent in our everyday lives and it is increasing dramatically each year. This course will allow the student to have a good understanding of how to store, process, and manage these huge amounts of data efficiently. In particular, this course will teach students both the fundamentals of data processing in traditional single-node database systems and how to scale out these techniques to huge amounts of data in large-scale, distributed environments. Especially, this course aims at igniting the innovation flame on the student to develop its own data management system.

Content

The database technology course is split into two parts, each covering roughly one half of the semester. During the first part, the students learn the fundamentals of database technology for relational database systems. This includes the general architecture of a DBMS, file- and buffer management, query processing, indexing, metadata management, query optimization, locking, recovery and transaction management. In the second part, students learn the basics of parallel data processing, with a focus on largescale, distributed systems and “cloud computing”. Topics include parallel relational databases, parallel no-SQL processing platforms like MapReduce, distributed data storage and retrieval - e.g., via DHTs -, techniques for distributed locking and transaction handling, multi-tenancy and software as a service, as well as modern hardware, benchmarking, and data stream processing. The course consists of a lecture and theoretical, written exercises.

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
DBT: Database Technology	IV	0434 L 431	WiSe	English	4

Workload and Credit Points

DBT: Database Technology (IV):

Workload description	Multiplier	Hours	Total
(Weekly) Lab Exercises	15.0	1.0h	15.0h
			15.0h(~1 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Lecture Preparation	15.0	3.0h	45.0h
Prepare for the written exam	1.0	15.0h	15.0h
Homework Assignments	1.0	60.0h	60.0h
Lecture	15.0	3.0h	45.0h
			165.0h(~6 LP)

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

Description of Teaching and Learning Methods

Lectures are accompanied by individual exercises to practically rehearse the theory taught in the lectures. The course will be given in English.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Students with interest in databases and information systems who have successfully completed "Informationssysteme und Datenanalyse" and "DBPRA (Datenbankpraktikum)" or their respective course equivalences.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
(Deliverable assessment) Assessment Homework Assignments	20	written	about 2 h/ assignment
(Examination) Quiz 1: (Mid term)	40	written	60 minutes
(Examination) Quiz 2: (End-of-term)	40	written	60 minutes

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

Test description (Module completion)

The final grade according to § 68 (2) AllgStuPO will be calculated with the faculty grading table 2. (Die Gesamtnote gemäß § 68 (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 60.

Registration Procedures

Recommended literature
J. Gray, A. Reuter: Transaction Processing, Morgan Kaufman, 1993.
R. Elmasri und S.B. Navathe: Fundamentals of Database Systems, Benjamin Cummings (Deutsche Übersetzung: “Grundlagen von Datenbanksystemen,“ Pearson, 2002).
T. Özsu und P. Valduriez: Principles of Distributed Database Systems, Prentice Hall, 1999.
Hector Garcia-Molina, Jeffrey D. Ullman, Jennifer Widom: Database Systems - The Complete Book, Pearson Prentice Hall, 2009.

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.

This module is suitable for Master’s students in Computer Science, Computer Engineering, Information Systems Management, and Industrial Engineering who are interested in database systems and information management. In particular, those students who are pursuing the Data Science and Engineering Track

Miscellaneous

No information

DBT: Database Technology