20.500.12556/DKUM-85317 Vzpostavitev ekosistema Hadoop diplomsko delo Establishing the Hadoop ecosystem V tej diplomski nalogi smo raziskali ogrodje Hadoop, ki s svojimi komponentami tvori celovito rešitev za hranjenje in analiziranje velikih podatkov. V diplomski nalogi najprej predstavimo ogrodje in njegove glavne oziroma najbolj uporabljene komponente, kot so HDFS, MapReduce in YARN. Sledi primer vzpostavitve ogrodja na Linux distribuciji Ubuntu, ter primeri uporabe, ki podajajo smernice za shranjevanje in analiziranje različnih vrst podatkov s Hadoop. In this thesis, we explored the Hadoop framework, which with its components forms a comprehensive solution for storing and analyzing big data. In the thesis we first introduced the framework and its main or most commonly used components, such as HDFS, MapReduce, and YARN. This is followed by an example of a set up of the framework on the Ubuntu Linux distribution, and by examples of its use, providing guidelines for storing and analyzing different types of data with Hadoop. Hadoop vele podatki porazdeljen datotečni sistem shranjevanje in analiza podatkov Hadoop Big Data distributed file system saving and analyzing data true true false [M. Cesar] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2023-08-25 21:33:13 2023-10-05 15:15:11 2023-11-07 03:06:22 0000-00-00 00:00:00 2023 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VIII, 49 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.62-022.59(043.2) 170898179 VS_Cesar_Mitja_2023.pdf VS_Cesar_Mitja_2023.pdf 1 783698ACC6776B93B5795E9C8B5DAA95 8dd01360f490d5c2def1c542441cb55854f3340d76ef312f58a3d2e83ded7ad2 fa617a59-4384-11ee-b781-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=170414 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0