20.500.12556/DKUM-41386 ANALIZA PRIMEROV UPORABE VELIKE KOLIČINE PODATKOV CASE ANALYSIS OF BIG DATA Diplomski seminar predstavlja računalništvo v oblaku in velike količine podatkov. Ta dva pojma sta novi poslovni priložnosti za podjetja. Vsekakor bodo brez teh dveh inovacij podjetja težko preživela na mednarodnih trgih. V diplomskem seminarju smo obravnavali računalništvo v oblaku. Na kratko smo povedali osnovne značilnosti, razvoj skozi leta, arhitekturo, tipe in SWOT analizo računalništva v oblaku. Kasneje smo se osredotočili na velike količine podatkov, jih definirali, pojasnili zgodovinski razvoj in ugotavljali ali smo pripravljeni na njih. Razložili smo tudi karakteristike, arhitekturo in ugotavljali praktičnost in uporabnost, ter njihovo varnost. Preučili smo podjetja Google, IBM in Microsoft in ugotovili kakšne rešitve imajo za velike količine podatkov in na kakšni platformi delujejo. Na koncu pa smo še ugotavljali razlike med samo arhitekturo teh rešitev. V glavnem je bila primerjava med rešitvama Dremel in Hadoop. Razložili pa smo tudi zakaj velike količine podatkov pomagajo tem podjetjem. The thesis presents cloud computing and big data. Those two concepts are new business opportunities for companies. In any case without those two innovations, companies will hardly survive in the international market. In thesis we dealt with cloud computing. We have represented basics, development through the years, arhitecture, types and swot analysis of cloud computing. Later, we focused on how big data is defined, developed and if we are ready for it. We explained their characteristics, arhitecture and observed practicality and usability, as well as their safety. We have studied the companies Google, IBM and Microsoft and we figured out what solutions they have for big data and on what plaftorms they run. On the end we observed the differences in arhitecture of those solutions. In general the comparison was between Dremel and Hadoop. We also explained why big data helps to those companies. Računalništvo v oblaku velike količine podatkov Dremel BigQuery Hadoop MapReduce HDInsight IBM-ova platforma za velike količine podatkov. Cloud computing big data Dremel BigQuery Hadoop MapReduce HDInsight IBM Big Data Platform true true false [M. Koželj] Slovenski jezik Angleški jezik Delo diplomskega seminarja/zaključno seminarsko delo/naloga 2013-08-25 16:35:09 2013-10-23 09:29:22 2022-05-04 03:07:29 2021-04-25 03:22:14 2013 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.2 11525660 URN:SI:UM:DK:O7GNWKFR UNI_Kozelj_Marko_2013.pdf UNI_Kozelj_Marko_2013.pdf 1 5B92DBB45B7AF34F506A8D4042E6CD84 4f3cf133f8ea82ab2d004acb6ab364675dccbbcb68abfff539471ce803abe6fc 2909ed1b-7c0a-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=57199 Ekonomsko-poslovna fakulteta 0 0 0