prikaz prve stranice dokumenta Skladištenje i obrada podataka s misija autonomnih ronilica
No public access
master's thesis
Skladištenje i obrada podataka s misija autonomnih ronilica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:062760
Barišić, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Barišić, T. (2015). Skladištenje i obrada podataka s misija autonomnih ronilica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:062760

Barišić, Tomislav. "Skladištenje i obrada podataka s misija autonomnih ronilica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:062760

Barišić, Tomislav. "Skladištenje i obrada podataka s misija autonomnih ronilica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:062760

Barišić, T. (2015). 'Skladištenje i obrada podataka s misija autonomnih ronilica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:062760

Barišić T. Skladištenje i obrada podataka s misija autonomnih ronilica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:062760

T. Barišić, "Skladištenje i obrada podataka s misija autonomnih ronilica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:062760

Metadata
TitleSkladištenje i obrada podataka s misija autonomnih ronilica
Title (english)Storage and processing of autonomous underwater vehicles' mission data
AuthorTomislav Barišić
MentorZoran Vukić (mentor)
Committee memberZoran Vukić (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberŽeljko Ban (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-02-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Autonomne ronilice i oprema koju ronioci koriste tokom misija generiraju velike količine podataka. Većina tih podataka u obliku log datoteka završi spremljena u nekom obliku i pročitana jednom ili niti jednom više. Cilj ovog rada je upravo tim podacima dati novi vrijednost i jedno organizirano mjesto za pohranu istih. Ti podaci spremaju se prema specifičnom protokolu DL7, za koji se daje algoritamsko rješenje parsiranja podataka u čitljive strukture podataka, kojima je lako upravljati i analizirati ih. Kroz rad se analiziraju dostupne tehnologije i trenutni trendovi u upravljanu s velikom količinom ne strukturiranih podataka. Analiziraju se prednosti korištenja usluga u oblaku i zakupa opreme u odnosu na tradicionalno kupovanje i održavanje iste. Provjerava se koncept korištenja ne strukturiranih tzv. NoSQL sustava za pohranu podataka, te njihove karakteristike i performanse u odnosu na tradicionalne relacijske baze podataka. Podacima se daje nova vrijednost upotrebom Hadoop sustava i analizom podataka po MapReduce principu. Kao rezultat rada predložen je dizajn izrade skladišta podataka te je isto uspješno izrađeno i testirano kako bi se provjerili svi zaključci doneseni kroz rad.
Abstract (english)
Autonomous underwater vessels and equipment that divers carry on their missions generate a large amounts of data. Most of that data is stored somewhere, read once or never after that. Goal of this thesis is to offer optimal solution for storing and managing this type of data and to offer analysis solution that will give it a new value and purpose. Data generated on these devices is stored in log files structured by DL7 data files protocol. As a part of theses, algorithmic solution for converting files to readable and easier to manage shape is provided and implemented. Advantages between cloud services and equipment rent against buying own equipment are analyzed in details. Also thesis analyses advantages of using new data management systems as NoSQL databases against traditional relational databases for storing and managing data. Additional value is added to data by implementing Hadoop analyses system and using MapReduce programming model. As a result of thesis suggested design of data warehouse is implemented and tested to prove are the conclusions given during analysis correct or wrong in real world systems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:062760
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2019-03-13 18:52:59