Moses - DBTLAB Database Technology Lab

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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:
#40037 / #6

Validity:
SoSe 2022 - WiSe 2022/23

Default display language:
English

Module title:
DBTLAB Database Technology Lab

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:
Pandey, Varun

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

Website:

https://www.tu.berlin/dima

Learning Outcomes

The global data volume is increasing dramatically each year. Understanding how to store, process and manage these huge amounts of data efficiently is a key requirement for software engineers and data analysts in the modern IT world. This lab (following the corresponding lecture topics of DBT-Database Technology) 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. During the implementation part of the lab, students will get hands-on experience with important data processing techniques by implementing several components of a relational database system and by using parallel programming platforms like Apache Hadoop or Nephele/PACT.

Content

In the database technology lab, students will implement components of a relational database system and get hands-on experience with a parallel data processing platform. The actual components implemented may vary each year, but will include parsing, query optimizer, execution engine, index structures and storage system.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
DBT - PRA (Database Technology Class - Practice Part)	PR	0434 L 468	WiSe	English	4

Workload and Credit Points

DBT - PRA (Database Technology Class - Practice Part) (PR):

Workload description	Multiplier	Hours	Total
Lab/Project Work (individual/group work)	15.0	8.0h	120.0h
Plenary Meetings	15.0	4.0h	60.0h
			180.0h(~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 exercises in small groups to practically rehearse the theory taught in the lectures. In the project, the students will be split in teams and under self-control will implement some components of a database system, with the goal to have a running demonstrator at the end of the semester.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This course is the base course for Master's students with a focus on database systems and information management. Students should enroll in this course in the first semester of their Master's program. In contrast to TU Berlin's introductory ISDA (Informationssysteme und Datenanalyse) course, which examines database systems from an application programmer’s point of view, this advanced course focuses on the internals of database systems. To participate, students are required to have successfully completed a Bachelor's in Computer Science with a focus on database systems (e.g., DBPRA Datenbankpraktikum, DBPRO Datenbankprojekt) and have either previously completed DBT or are concurrently enrolled in DBT. Knowledge of data modeling, relational algebra, and SQL as well as a very good (!!) command of Java programming and the Git version control system are essential to participate in the course. Note: These topics will not be covered in this course.

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) Implementation of database modules for IO handling (3 tasks with 10 points each)	30	practical	36h (12h/task)
(Deliverable assessment) Implementation of a database index (1 tasks with 10 points)	10	practical	12h
(Deliverable assessment) Implementation of database operators (3 tasks with 25 points in total)	25	practical	36h (12h/task)
(Deliverable assessment) Implementation of database optimizer components (2 tasks with 25 points in total)	25	practical	24h (12h/task)
(Deliverable assessment) Implementation of database components for massively parallel processing (1 task with 10 points)	10	practical	12h

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

Students are required to register for the course in the official TUB examination system within six weeks after commencement of the first lecture or when the first graded assignment is due, whichever happens to be first.

Recommended literature
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

DBTLAB Database Technology Lab