Details

Fakultät	Math.-Nat. und Med. Fakultät
Bereich	Informatik
Code	UE-SIN.07612
Sprachen	Englisch
Art der Unterrichtseinheit	Vorlesung
Kursus	Master
Semester	SA-2022

Zeitplan und Räume

Vorlesungszeiten	Mittwoch 14:15 - 17:00, Wöchentlich (Herbstsemester)
Strukturpläne	3h par semaine durant 14 semaines
Kontaktstunden	42

Unterricht

Verantwortliche	Cudré-Mauroux Philippe
Dozenten-innen	Cudré-Mauroux Philippe Lerner Alberto
Beschreibung	This course focuses on conceptual and architectural issues related to the design and deployment of modern data management infrastructures in a Big Data context. It starts with a review of distributed transaction processing techniques, classical parallel databases systems and ACID-style semantics in shared-nothing architectures. The course then delves into modern wide-area data processing, with an emphasis on recent systems developed to solve large-scale problems using clusters of commodity machines. In this second part, the course covers distributed storage systems (such as Google's BigTable), wide-area hash-tables (like Cassandra), data-intensive computing platforms (Hadoop) and nosql systems. Hands on programming exercises using those platforms will be an important part of this course.
Lernziele	Students will learn about classical distributed transaction processing and parallel database systems. They will get exposed to modern data management infrastructures deployed by current Web giants like Google or Yahoo! to power a wide range of Web services. Finally, they will understand the fundamental tradeoffs between consistency, availability and fault-tolerance for wide-area data processing on the Internet.
Bemerkungen	MSc-CS BENEFRI - (Code Ue: 63021 / Track: T6) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/. Course and exam registration on ACADEMIA (not myunifr.ch). Please follow the instructions on https://mcs.unibnf.ch/organization/
Soft Skills	Nein
ausserhalb des Bereichs	Nein
BeNeFri	Ja
Mobilität	Ja
UniPop	Nein

Schriftliche Prüfung

Bewertungsmodus

Nach Note