392157 Big Data Analytics (V) (SoSe 2016)
Contents, comment
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Lehrinhalte
Die Vorlesung "Big Data Analytics" behandelt Methoden und Verfahren aus dem Bereich Big Data & Analytics. Sie behandelt inbesondere folgende Themen:
1) Transaktionen
2) SQL Tuning
3) Data Warehouses
4) Cloud Computing
5) NoSQL
6) MapReduce (am Beispiel von Hadoop)
7) Data Mining und Machine Learning auf großen Datenmengen
8) Verarbeitung von Datenströmen
Requirements for participation, required level
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Kenntnisse aus Datenbanken I (oder vergleichbare Kenntnisse aus anderen Vorlesungen)
Bibliography
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A. Silberschatz, H. F. Korth, S. Sudarshan, „Database System Concepts“, 5th edition, McGraw Hill, 2006.
R. Elmasri und S.B. Navathe, „Fundamentals of Database Systems“, 5th edition, Pearson/Addison Wesley, 2007.
William H. Inmon, "Building the Data Warehouse", John Wiley & Sons, 1996.
Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman, "Mining of Massive Datasets", 2nd Edition, Cambridge University Press, 2014.
Tom White, "Hadoop: The Definitive Guide Storage and Analysis at Internet Scale", 3rd edition, O'Reilly.
Viktor Mayer-Schönberger , Kenneth Cukier , " Big Data: A Revolution That Will Transform How We Live, Work and Think", John Murray, 2013.
Eric Redmond , Jim R. Wilson, "Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement", O' Reilly, 2012.
Peter Gulutzan, Trudy Pelzer , "SQL Performance Tuning", Addison Wesley, 2002.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Do | 14-16 | H11 | 11.04.-22.07.2016
not on: 5/5/16 / 5/26/16 |
Examinations
| Date | Time | Format / Room | Comment about examination |
|---|---|---|---|
| Thursday, July 28, 2016 | 14-16 | H14 | |
| Thursday, September 22, 2016 | 14-16 | H3 |
Hide passed examination dates <<
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-DB2 Datenbanken II | Datenbanken II | Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bioinformatik und Genomforschung / Bachelor | (Enrollment until SoSe 2011) | Datenbanken II | Wahlpflicht | 6. | 3 | benotet | |
| Informatik / Bachelor | (Enrollment until SoSe 2011) | Nebenfach | Datenbanken II | Wahlpflicht | 6. | 3 | benotet |
| Kognitive Informatik / Bachelor | (Enrollment until SoSe 2011) | Datenbanken II | Wahlpflicht | 6. | 3 | benotet | |
| Medieninformatik und Gestaltung / Bachelor | (Enrollment until SoSe 2011) | Datenbanken II | Wahlpflicht | 6. | 3 | benotet | |
| Medienwissenschaft, interdisziplinäre / Master | (Enrollment until SoSe 2014) | Hauptmodul 4 | Wahlpflicht | 2. | 3 | benotet | |
| Molekulare Biotechnologie / Bachelor | (Enrollment until SoSe 2011) | Datenbanken II | Wahlpflicht | 6. | 3 | benotet | |
| Naturwissenschaftliche Informatik / Bachelor | (Enrollment until SoSe 2011) | Datenbanken II | Wahlpflicht | 6. | 3 | benotet |
Bestehen der mündlichen oder schriftlichen Prüfung (3 LP) sowie erfolgreiche Bearbeitung der Übungsblätter. Die erfolgreiche Bearbeitung der Übungsblätter beinhaltet die Lösung von mind. 60% der Aufgaben sowie das zweimalige Vorrechnen einer Aufgabe in den Übungsgruppen (2 LP). Diese Leistungen ergeben zusammen 5 LP.
- Registered number: 65
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- Monday, July 11, 2016
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- lecture (V) / 2
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- Faculty of Technology
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