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undergraduate thesis
Evaluacija raspodijeljene baze podataka IoTDB
2023. urn:nbn:hr:168:644200
Šporčić, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Šporčić, M. (2023). Evaluacija raspodijeljene baze podataka IoTDB (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:644200

Šporčić, Matej. "Evaluacija raspodijeljene baze podataka IoTDB." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:644200

Šporčić, Matej. "Evaluacija raspodijeljene baze podataka IoTDB." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:644200

Šporčić, M. (2023). 'Evaluacija raspodijeljene baze podataka IoTDB', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:644200

Šporčić M. Evaluacija raspodijeljene baze podataka IoTDB [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 May 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:644200

M. Šporčić, "Evaluacija raspodijeljene baze podataka IoTDB", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:644200

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Metadata
TitleEvaluacija raspodijeljene baze podataka IoTDB
Title (english)Evaluation of the IoTDB distributed database
AuthorMatej Šporčić
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberJosip Marić (član povjerenstva)
Committee memberIvan Sičić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-08-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Danas uređaji s Interneta stvari stvaraju jako velike količine podataka vremenskih serija koji se mijenjaju tijekom vremena, a Apache IoTDB baza podataka može jako efikasno pohraniti i analizirati te podatke. Zbog toga je u ovom završnom radu istražena i opisana baza podataka Apache IoTDB, koja je namijenjena za pohranu i upravljanje vremenskih serija podataka s Interneta stvari. Nakon toga je odabran studijski slučaj stvarnih podataka s Interneta stvari na kojem se evaluira ova baza podataka i u Javi je napravljeno programsko rješenje koje koristi ovu bazu podataka za pohranu, postavljanje upita i obradu podataka s Interneta stvara.
Abstract (english)
Today, Internet of Things devices generate large volumes of time-series data that change over time, and the Apache IoTDB database can efficiently store and analyze this data. Therefore, this thesis explores and describes Apache IoTDB, a database specifically designed for storing and managing time-series data from the Internet of Things. After that, a real-world case study of Internet of Things data is selected to evaluate this database, and a Java program solution is developed that uses the database for storage, querying, and processing of Internet of Things data.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:644200
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 10:42:02