"megadados"@pt . "stordatasystem"@sv . "Datasets die zo groot en complex zijn dat ze moeilijk met traditionele ICT-toepassingen te verwerken zijn. In de meeste definities wordt big data omschreven als groot, heterogeen (afkomstig uit verschillende bronnen en in verschillende formaten) en nagenoeg in real time verzameld en geanalyseerd. Sommige definities benadrukken ook dat de gegevens waarheidsgetrouw moeten zijn."@nl . "massadatatekniikka"@fi . . "grande insieme di dati"@it . "Ensemble de donn\u00E9es si volumineux et complexes qu\u2019ils sont difficiles \u00E0 traiter \u00E0 l\u2019aide d\u2019applications traditionnelles de TIC. La plupart des d\u00E9finitions d\u00E9crivent les m\u00E9gadonn\u00E9es comme volumineuses (elles pr\u00E9sentent de grands \u00ABvolumes\u00BB); H\u00E9t\u00E9rog\u00E8nes (elles proviennent de sources diff\u00E9rentes et sous une \u00ABvari\u00E9t\u00E9\u00BB de formes); et collect\u00E9es ou analys\u00E9es en temps quasi r\u00E9el (c\u2019est-\u00E0-dire qu\u2019elles affichent une grande \u00ABv\u00E9locit\u00E9\u00BB). Certaines d\u00E9finitions soulignent \u00E9galement la n\u00E9cessit\u00E9 de donn\u00E9es fiables (elles doivent attester leur \u00ABv\u00E9racit\u00E9\u00BB)."@fr . "Serie di dati di grandezza e complessit\u00E0 tali da renderne difficile il trattamento con applicazioni TIC tradizionali. Generalmente i big data sono definiti grandi (in termini di volume), eterogenei (per la variet\u00E0 di fonti e forme), raccolti o analizzati in tempo quasi reale (caratterizzati da velocit\u00E0). Alcune definizioni sottolineano anche la necessit\u00E0 che i dati siano attendibili (dimostrino veridicit\u00E0)."@it . "ve\u013Ek\u00E9 d\u00E1ta"@sk . "didieji duomenys"@lt . "Datens\u00E4tze, die so umfangreich und komplex sind, dass sie mit herk\u00F6mmlichen IKT-Anwendungen kaum zu verarbeiten sind. In den meisten Definitionen werden Big Data als gro\u00DF (d.\u00A0h. von gro\u00DFem Volumen), heterogen (d.\u00A0h. sie stammen aus unterschiedlichen Quellen und weisen eine Vielzahl von Formen auf) und nahezu in Echtzeit (d.\u00A0h. sehr schnell) erhoben oder analysiert beschrieben. In einigen Definitionen wird auch betont, dass die Daten zuverl\u00E4ssig (d.\u00A0h. sachlich richtig) sein m\u00FCssen."@de . "anal\u00FDza dat velk\u00E9ho objemu"@cs . "sett kbir ta\u2019 dejta"@mt . "hromadn\u00E1 data"@cs . "did\u017Ei\u0173j\u0173 duomen\u0173 technologija"@lt . "\u0430\u043D\u0430\u043B\u0438\u0437\u0438\u0440\u0430\u043D\u0435 \u043D\u0430 \u0433\u043E\u043B\u0435\u043C\u0438 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0438 \u043C\u0430\u0441\u0438\u0432\u0438"@bg . "mno\u017Ei\u010Dni podatki"@sl . "analitika tal-big data"@mt . "grandes dados"@pt . . "Zestawy danych tak du\u017Ce i z\u0142o\u017Cone, \u017Ce trudno je przetwarza\u0107 przy pomocy tradycyjnych aplikacji ICT. Wi\u0119kszo\u015B\u0107 definicji opisuje je jako du\u017Ce (w ogromnej ilo\u015Bci), r\u00F3\u017Cnorodne (dane r\u00F3\u017Cnego rodzaju pochodz\u0105ce z wielorakich \u017Ar\u00F3de\u0142) oraz gromadzone i analizowane w czasie zbli\u017Conym do rzeczywistego (charakteryzuj\u0105ce si\u0119 du\u017C\u0105 zmienno\u015Bci\u0105). W niekt\u00F3rych definicjach podkre\u015Bla si\u0119 te\u017C, \u017Ce dane te powinny by\u0107 wiarygodne (prawdziwe)."@pl . "masiniai duomenys"@lt . "Settijiet tad-dejta li jkunu tant kbar u kumplessi li jkunu diffi\u010Bli biex ji\u0121u ppro\u010Bessati bl-u\u017Cu ta\u2019 applikazzjonijiet tal-ICT tradizzjonali. Il-ma\u0121\u0121oranza tad-definizzjonijiet jiddeskrivu l-big data b\u0127ala kbira (ji\u0121ifieri g\u0127andha l-\u201Cvolum\u201D); etero\u0121enja (ji\u0121ifieri \u0121ejja minn sorsi differenti f\u2019\u201Cvarjet\u00E0\u201D ta\u2019 forom differenti); u mi\u0121bura jew analizzata f\u2019\u0127in kwa\u017Ci reali (ji\u0121ifieri turi \u201Cvelo\u010Bit\u00E0\u201D g\u0127olja). Xi definizzjonijiet jenfasizzaw ukoll il-\u0127tie\u0121a li d-dejta tkun affidabbli (ji\u0121ifieri trid turi \u201Cvera\u010Bit\u00E0\u201D)."@mt . "\u0433\u043E\u043B\u0435\u043C\u0438 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0438 \u043C\u0430\u0441\u0438\u0432\u0438"@bg . "stordata"@sv . "suuret tietoaineistot"@fi . "big-data-analyse"@nl . "technologie dat velk\u00E9ho objemu"@cs . "big data"@nl . "lielo datu anal\u012Btika"@lv . "\u03BC\u03B5\u03B3\u03AC\u03BB\u03BF \u03C3\u03CD\u03BD\u03BF\u03BB\u03BF \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD"@el . "big data analytics"@en . "hromadn\u00E9 d\u00E1ta"@sk . "teknolo\u0121ija tal-big data"@mt . "bigdatabronnen"@nl . "donn\u00E9es de masse"@fr . "volume mari de date"@ro . "technologia du\u017Cych zbior\u00F3w danych"@pl . "an\u00E1lise de megadados"@pt . "dati di massa"@it . "\u03A3\u03CD\u03BD\u03BF\u03BB\u03B1 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD \u03C4\u03CC\u03C3\u03BF \u03BC\u03B5\u03B3\u03AC\u03BB\u03B1 \u03BA\u03B1\u03B9 \u03C3\u03CD\u03BD\u03B8\u03B5\u03C4\u03B1 \u03CE\u03C3\u03C4\u03B5 \u03B5\u03AF\u03BD\u03B1\u03B9 \u03B4\u03CD\u03C3\u03BA\u03BF\u03BB\u03BF \u03BD\u03B1 \u03C5\u03C0\u03BF\u03B2\u03BB\u03B7\u03B8\u03BF\u03CD\u03BD \u03C3\u03B5 \u03B5\u03C0\u03B5\u03BE\u03B5\u03C1\u03B3\u03B1\u03C3\u03AF\u03B1 \u03BC\u03B5 \u03C0\u03B1\u03C1\u03B1\u03B4\u03BF\u03C3\u03B9\u03B1\u03BA\u03AD\u03C2 \u03B5\u03C6\u03B1\u03C1\u03BC\u03BF\u03B3\u03AD\u03C2 \u03A4\u03A0\u0395. \u039F\u03B9 \u03C0\u03B5\u03C1\u03B9\u03C3\u03C3\u03CC\u03C4\u03B5\u03C1\u03BF\u03B9 \u03BF\u03C1\u03B9\u03C3\u03BC\u03BF\u03AF \u03B1\u03C0\u03BF\u03B4\u03AF\u03B4\u03BF\u03C5\u03BD \u03C3\u03C4\u03B1 \u03BC\u03B5\u03B3\u03B1\u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1 \u03C4\u03B1 \u03B5\u03BE\u03AE\u03C2 \u03C7\u03B1\u03C1\u03B1\u03BA\u03C4\u03B7\u03C1\u03B9\u03C3\u03C4\u03B9\u03BA\u03AC: \u03B5\u03AF\u03BD\u03B1\u03B9 \u03BC\u03B5\u03B3\u03AC\u03BB\u03B1 (\u03B4\u03B7\u03BB. \u03AD\u03C7\u03BF\u03C5\u03BD \u00AB\u03CC\u03B3\u03BA\u03BF\u00BB)\u00B7 \u03B5\u03AF\u03BD\u03B1\u03B9 \u03B5\u03C4\u03B5\u03C1\u03BF\u03B3\u03B5\u03BD\u03AE (\u03B4\u03B7\u03BB. \u03C0\u03C1\u03BF\u03AD\u03C1\u03C7\u03BF\u03BD\u03C4\u03B1\u03B9 \u03B1\u03C0\u03CC \u03B4\u03B9\u03AC\u03C6\u03BF\u03C1\u03B5\u03C2 \u03C0\u03B7\u03B3\u03AD\u03C2 \u03C3\u03B5 \u00AB\u03C0\u03BB\u03B7\u03B8\u03CE\u03C1\u03B1\u00BB \u03B4\u03B9\u03B1\u03C6\u03BF\u03C1\u03B5\u03C4\u03B9\u03BA\u03CE\u03BD \u03BC\u03BF\u03C1\u03C6\u03CE\u03BD)\u00B7 \u03BA\u03B1\u03B9 \u03C3\u03C5\u03BB\u03BB\u03AD\u03B3\u03BF\u03BD\u03C4\u03B1\u03B9 \u03AE \u03B1\u03BD\u03B1\u03BB\u03CD\u03BF\u03BD\u03C4\u03B1\u03B9 \u03C3\u03B5 \u03C3\u03C7\u03B5\u03B4\u03CC\u03BD \u03C0\u03C1\u03B1\u03B3\u03BC\u03B1\u03C4\u03B9\u03BA\u03CC \u03C7\u03C1\u03CC\u03BD\u03BF (\u03B4\u03B7\u03BB. \u03B5\u03BC\u03C6\u03B1\u03BD\u03AF\u03B6\u03BF\u03C5\u03BD \u03C5\u03C8\u03B7\u03BB\u03AE \u00AB\u03C4\u03B1\u03C7\u03CD\u03C4\u03B7\u03C4\u03B1\u00BB). \u039A\u03AC\u03C0\u03BF\u03B9\u03BF\u03B9 \u03BF\u03C1\u03B9\u03C3\u03BC\u03BF\u03AF \u03C4\u03BF\u03BD\u03AF\u03B6\u03BF\u03C5\u03BD \u03B5\u03C0\u03AF\u03C3\u03B7\u03C2 \u03C4\u03B7\u03BD \u03B1\u03BD\u03AC\u03B3\u03BA\u03B7 \u03C4\u03B1 \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1 \u03BD\u03B1 \u03B5\u03AF\u03BD\u03B1\u03B9 \u03B1\u03BE\u03B9\u03CC\u03C0\u03B9\u03C3\u03C4\u03B1 (\u03B4\u03B7\u03BB. \u03BD\u03B1 \u03C7\u03B1\u03C1\u03B1\u03BA\u03C4\u03B7\u03C1\u03AF\u03B6\u03BF\u03BD\u03C4\u03B1\u03B9 \u03B1\u03C0\u03CC \u00AB\u03B5\u03B3\u03BA\u03C5\u03C1\u03CC\u03C4\u03B7\u03C4\u03B1\u00BB)."@el . "macrodatos"@es . "\u00F3ri\u00E1si m\u00E9ret\u0171 adathalmazok"@hu . "massadata"@fi . "datos masivos"@es . "set mare de date"@ro . "\u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u044F \u043D\u0430 \u0433\u043E\u043B\u0435\u043C\u0438\u0442\u0435 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0438 \u043C\u0430\u0441\u0438\u0432\u0438"@bg . "m\u00E9gadonn\u00E9es"@fr . "Seturi de date at\u00E2t de voluminoase \u0219i de complexe \u00EEnc\u00E2t sunt dificil de prelucrat cu ajutorul aplica\u021Biilor TIC tradi\u021Bionale. Majoritatea defini\u021Biilor descriu volumele mari de date ca fiind mari (adic\u0103 au \u201Evolum\u201D), eterogene (adic\u0103 provin din surse diferite \u00EEntr-o \u201Evarietate\u201D de forme diferite) \u0219i colectate sau analizate aproape \u00EEn timp real (adic\u0103 dau dovad\u0103 de \u201Evitez\u0103\u201D mare). De asemenea, unele defini\u021Bii eviden\u021Biaz\u0103 nevoia ca datele s\u0103 fie de \u00EEncredere (adic\u0103 trebuie s\u0103 dea dovad\u0103 de \u201Everidicitate\u201D)."@ro . "velk\u00E1 data"@cs . "tecnologia dos megadados"@pt . "analiza volumelor mari de date"@ro . "big data-analyse"@da . "t\u00F6meges adatok"@hu . "Suuruse ja keerukuse t\u00F5ttu traditsiooniliste IKT rakenduste abil raskestihallatavad andmete kogumid. Enamiku definitsioonide kohaselt on suurandmed mahult suured, heterogeensed (eri allikatest ja formaatides) ning neid kogutakse ja anal\u00FC\u00FCsitakse peaaegu reaalajas (vajalik on suur kiirus). Osa definitsioone r\u00F5hutab ka vajadust, et andmed oleksid usaldusv\u00E4\u00E4rsused (\u00F5igsus)."@et . "Datas\u00E6t, der er s\u00E5 store og komplekse, at de er sv\u00E6re at behandle ved hj\u00E6lp af traditionelle IKT-applikationer. I de fleste definitioner beskrives big data som store m\u00E6ngder af heterogene data (dvs., at de kommer fra forskellige datakilder i forskelligartet form), der indsamles og analyseres i realtid (dvs. hurtig databehandling). I nogle definitioner l\u00E6gges der ogs\u00E5 v\u00E6gt p\u00E5 behovet for p\u00E5lidelige data (dvs., at dataene skal v\u00E6re rigtige)."@da . "amplio conjunto de datos"@es . "stordatateknik"@sv . "velepodatki"@sl . "liela datu kopa"@lv . "massadata-analyysi"@fi . "massadatateknologia"@fi . "Conjuntos de datos tan grandes y complejos que es dif\u00EDcil tratarlos mediante aplicaciones de TIC tradicionales. La mayor parte de las definiciones describen los macrodatos como grandes (es decir, tienen \u00ABvolumen\u00BB), heterog\u00E9neos (proceden de distintas fuentes en una \u00ABvariedad\u00BB de diversas formas), y recogidos o analizados casi en tiempo real (es decir, a gran \u00ABvelocidad\u00BB). Algunas definiciones tambi\u00E9n resaltan que los datos tienen que ser fiables (demostrar \u00ABveracidad\u00BB)."@es . "suurandmete haldamine"@et . "Massendaten"@de . "Dideli ir sud\u0117tingi duomen\u0173 rinkiniai, kuriems tvarkyti \u012Fprastini\u0173 IRT priemoni\u0173 nepakanka. Daugumoje apibr\u0117\u017E\u010Di\u0173 didieji duomenys nusakomi kaip dideli (didel\u0117s apimties), heterogeniniai (i\u0161 \u012Fvairi\u0173 \u0161altini\u0173 ir \u012Fvairios formos), renkami ir analizuojami beveik tikruoju laiku (spart\u016Bs). Kai kuriose apibr\u0117\u017Etyse taip pat pabr\u0117\u017Eiama reikm\u0117 u\u017Etikrinti duomen\u0173 patikimum\u0105 (tikrum\u0105)."@lt . "tehnologija za velike koli\u010Dine podataka"@hr . "date \u00EEn mas\u0103"@ro . "analyse de m\u00E9gadonn\u00E9es"@fr . . "olltioms\u00FA sonra\u00ED"@ga . "du\u017Ce zbiory danych"@pl . "big data"@it . "velika koli\u010Dina podataka"@hr . "analisi di big data"@it . "Datov\u00E9 soubory, kter\u00E9 jsou natolik rozs\u00E1hl\u00E9 a komplexn\u00ED, \u017Ee je obt\u00ED\u017En\u00E9 je zpracovat pomoc\u00ED tradi\u010Dn\u00EDch aplikac\u00ED IKT. Ve v\u011Bt\u0161in\u011B definic jsou data velk\u00E9ho objemu popisov\u00E1na jako data rozs\u00E1hl\u00E1 (tj. \u201Eobjemn\u00E1\u201C); heterogenn\u00ED (tj. poch\u00E1zej\u00EDc\u00ED z r\u016Fzn\u00FDch zdroj\u016F v \u201Erozmanit\u00FDch\u201C form\u00E1ch); a shroma\u017E\u010Fovan\u00E1 \u010Di analyzovan\u00E1 v t\u00E9m\u011B\u0159 re\u00E1ln\u00E9m \u010Dase (tj. vykazuj\u00EDc\u00ED vysokou \u201Erychlost\u201C). V n\u011Bkter\u00FDch definic\u00EDch je zd\u016Frazn\u011Bno tak\u00E9 to, \u017Ee musej\u00ED b\u00FDt spolehliv\u00E1 (tj. musej\u00ED prokazovat \u201Ev\u011Brohodnost\u201C)."@cs . "velkoobjemov\u00E1 data"@cs . "tecnologia big data"@it . "analitika velepodatkov"@sl . "grandes volumes de dados"@pt . "tecnolog\u00EDa de macrodatos"@es . "ve\u013Ek\u00FD s\u00FAbor d\u00E1t"@sk . "big-databronnen"@nl . "m\u00F3rshonra\u00ED"@ga . "stort datas\u00E6t"@da . "big data"@mt . "\u0433\u043E\u043B\u044F\u043C \u043C\u0430\u0441\u0438\u0432 \u043E\u0442 \u0434\u0430\u043D\u043D\u0438"@bg . "lielo datu tehnolo\u0123ija"@lv . "big data technology"@en . "tehnologija velepodatkov"@sl . "A hagyom\u00E1nyos infokommunik\u00E1ci\u00F3s alkalmaz\u00E1sokkal nehezen feldolgozhat\u00F3 nagy \u00E9s \u00F6sszetett adathalmaz. A legt\u00F6bb meghat\u00E1roz\u00E1s szerint a nagy adathalmazok nagy mennyis\u00E9g\u0171, heterog\u00E9n (azaz k\u00FCl\u00F6nb\u00F6z\u0151 forr\u00E1sokb\u00F3l sz\u00E1rmaz\u00F3, elt\u00E9r\u0151 form\u00E1j\u00FA) \u00E9s majdnem val\u00F3s id\u0151ben gy\u0171jt\u00F6tt vagy elemzett adatot tartalmaznak. N\u00E9mely meghat\u00E1roz\u00E1sok kiemelik az adatok megb\u00EDzhat\u00F3s\u00E1g\u00E1nak (val\u00F3dis\u00E1g) sz\u00FCks\u00E9gess\u00E9g\u00E9t is."@hu . "an\u00E1lisis de macrodatos"@es . "Datam\u00E4ngder som \u00E4r s\u00E5 stora och komplexa att de \u00E4r sv\u00E5ra att processa med vanliga IKT-till\u00E4mpningar. I de flesta definitioner beskrivs stordata som omfattande (den har stor volym), heterogen (den kommer fr\u00E5n olika k\u00E4llor och i m\u00E5nga olika format) och insamlad i n\u00E4ra realtid. I en del definitioner betonas ocks\u00E5 att den ska vara tillf\u00F6rlitlig."@sv . "stordataanalys"@sv . "dejta bil-massa"@mt . "suurandmed"@et . . "massadatan analysointi"@fi . "big data"@da . "did\u017Ei\u0173j\u0173 duomen\u0173 analitika"@lt . "mno\u017Eica velepodatkov"@sl . "gro\u00DFe Datenbasis"@de . "Podatki, ki so tako obse\u017Eni in zapleteni, da se z uporabo tradicionalnih aplikacij IKT te\u017Eko obdelajo. Ve\u010Dina opredelitev opisuje velepodatke kot velike (velik obseg), raznovrstne (izvirajo iz razli\u010Dnih virov v razli\u010Dnih oblikah), in zbrane ali analizirane v skoraj realnem \u010Dasu (zanje je zna\u010Dilna velika hitrost). V nekaterih opredelitvah je poudarjeno tudi to, da morajo biti podatki verodostojni (tj. zanje mora biti zna\u010Dilna resni\u010Dnost)."@sl . "Skupovi podataka koji su toliko veliki i slo\u017Eeni da ih je te\u0161ko obra\u0111ivati tradicionalnim aplikacijama informacijskih i telekomunikacijskih tehnologija. U ve\u0107ini definicija velike koli\u010Dine podataka opisuju se kao velike (imaju znatan \u201Eopseg\u201D) i heterogene (tj. potje\u010Du iz razli\u010Ditih izvora i odlikuje ih \u201Eniz\u201D razli\u010Ditih oblika) te se navodi da ih se prikuplja ili analizira gotovo u stvarnom vremenu (tj. zna\u010Dajka im je velika \u201Ebrzina\u201D). U nekim je definicijama nagla\u0161eno i da takvi podaci moraju biti pouzdani (tj. mora biti vidljiva njihova \u201Eistinost\u201D)."@hr . "Big Data"@de . "mass data"@en . "nagy adathalmazok elemz\u00E9se"@hu . "grand ensemble de donn\u00E9es"@fr . "donn\u00E9es massives"@fr . "large data set"@en . "iso data"@fi . "analytika ve\u013Ek\u00FDch d\u00E1t"@sk . "\u03BC\u03B5\u03B3\u03B1\u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1"@el . "big data"@en . . "golema koli\u010Dina podataka"@hr . "Massendatenanalyse"@de . "suurandmete tehnoloogia"@et . "big data-teknologi"@da . "du\u017Cy zbi\u00F3r danych"@pl . "c_bf1e2c81"^^ . "\u03BC\u03B1\u03B6\u03B9\u03BA\u03AC \u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03B1"@el . "Big-Data-Technologie"@de . "\u03B1\u03BD\u03AC\u03BB\u03C5\u03C3\u03B7 \u03BC\u03B5\u03B3\u03B1\u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD"@el . "nagy adathalmazok"@hu . "data velk\u00E9ho objemu"@cs . "\u0433\u043E\u043B\u044F\u043C\u0430 \u0441\u044A\u0432\u043A\u0443\u043F\u043D\u043E\u0441\u0442 \u043E\u0442 \u0434\u0430\u043D\u043D\u0438"@bg . "veliki skup podataka"@hr . "grande conjunto de dados"@pt . "tehnologie de lucru cu volume mari de date"@ro . "Tik lielas un sare\u017E\u0123\u012Btas datu kopas, ka t\u0101s ir gr\u016Bti apstr\u0101d\u0101t ar tradicion\u0101l\u0101m IKT lietojumprogramm\u0101m. Liel\u0101k\u0101 da\u013Ca defin\u012Bciju nor\u0101da, ka lielie dati ir lielapjoma dati (t.\u00A0i., tiem ir \u201Capjoms\u201D), ir neviendab\u012Bgi (t.\u00A0i., tie ieg\u016Bti no da\u017E\u0101diem avotiem vair\u0101k\u0101s \u201Cda\u017E\u0101d\u0101s form\u0101s\u201D) un tiek v\u0101kti vai analiz\u0113ti gandr\u012Bz re\u0101llaik\u0101 (t.\u00A0i., tiem piem\u012Bt augsts \u201C\u0101trums\u201D). Da\u017E\u0101s defin\u012Bcij\u0101s uzsv\u0113rta ar\u012B vajadz\u012Bba datiem b\u016Bt uzticamiem (t.\u00A0i., tiem j\u0101apliecina \u201Cticam\u012Bba\u201D)."@lv . "massedata"@da . "Conjuntos de dados t\u00E3o grandes e complexos que se torna dif\u00EDcil o seu processamento utilizando aplica\u00E7\u00F5es TIC tradicionais. A maioria das defini\u00E7\u00F5es descreve os megadados como sendo dados de grande dimens\u00E3o (isto \u00E9, com \u00ABvolume\u00BB), heterog\u00E9neos (isto \u00E9, de diferentes fontes numa \u00ABvariedade\u00BB de formatos) e que s\u00E3o recolhidos e analisados em tempo quase real (isto \u00E9, a uma \u00ABvelocidade\u00BB elevada). Algumas defini\u00E7\u00F5es real\u00E7am tamb\u00E9m a necessidade de os dados serem fidedignos (ou seja, devem demonstrar \u00ABveracidade\u00BB)."@pt . "analiza velikih koli\u010Dina podataka"@hr . "masveida dati"@lv . . "massa de dados"@pt . "bigdata-analyse"@nl . "D\u00E1tov\u00E9 s\u00FAbory, ktor\u00E9 s\u00FA tak rozsiahle a komplexn\u00E9, \u017Ee\u00A0je zlo\u017Eit\u00E9 spracova\u0165 ich pomocou tradi\u010Dn\u00FDch aplik\u00E1ci\u00ED IKT. Vo v\u00E4\u010D\u0161ine defin\u00EDci\u00ED sa ve\u013Ek\u00E9 d\u00E1ta opisuj\u00FA ako ve\u013Ek\u00E9 (t. j. s\u00FA \u201Eobjemn\u00E9\u201C); heterog\u00E9nne (t. j. poch\u00E1dzaj\u00FA z r\u00F4znych zdrojov v \u201Erozmanit\u00FDch\u201C form\u00E1ch) a zozbieran\u00E9 alebo analyzovan\u00E9 v takmer re\u00E1lnom \u010Dase (t. j. vykazuj\u00FA vysok\u00FA \u201Er\u00FDchlos\u0165\u201C). V niektor\u00FDch defin\u00EDci\u00E1ch sa takisto zd\u00F4raz\u0148uje, \u017Ee musia by\u0165 d\u00F4veryhodn\u00E9 (t. j. musia preuk\u00E1za\u0165 \u201Evierohodnos\u0165\u201C)."@sk . "technologie de m\u00E9gadonn\u00E9es"@fr . "lielie dati"@lv . "\u03C4\u03B5\u03C7\u03BD\u03BF\u03BB\u03BF\u03B3\u03AF\u03B1 \u03BC\u03B5\u03B3\u03B1\u03B4\u03B5\u03B4\u03BF\u03BC\u03AD\u03BD\u03C9\u03BD"@el . "grote datasets"@nl . "\u0421\u044A\u0432\u043A\u0443\u043F\u043D\u043E\u0441\u0442\u0438 \u043E\u0442 \u0434\u0430\u043D\u043D\u0438 (\u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0438 \u043C\u0430\u0441\u0438\u0432\u0438), \u043A\u043E\u0438\u0442\u043E \u0441\u0430 \u0442\u043E\u043B\u043A\u043E\u0432\u0430 \u0433\u043E\u043B\u0435\u043C\u0438 \u0438 \u0441\u043B\u043E\u0436\u043D\u0438, \u0447\u0435 \u043E\u0431\u0440\u0430\u0431\u043E\u0442\u043A\u0430\u0442\u0430 \u0438\u043C \u043F\u043E\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u043E\u043C \u0442\u0440\u0430\u0434\u0438\u0446\u0438\u043E\u043D\u043D\u0438\u0442\u0435 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u043E\u0442\u0435\u0445\u043D\u043E\u043B\u043E\u0433\u0438\u0447\u043D\u0438 \u0438 \u0441\u044A\u043E\u0431\u0449\u0438\u0442\u0435\u043B\u043D\u0438 \u043F\u0440\u0438\u043B\u043E\u0436\u0435\u043D\u0438\u044F \u0435 \u043C\u043D\u043E\u0433\u043E \u0442\u0440\u0443\u0434\u043D\u0430. \u0412 \u043F\u043E\u0432\u0435\u0447\u0435\u0442\u043E \u043E\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u044F \u0441\u0435 \u043F\u043E\u0441\u043E\u0447\u0432\u0430, \u0447\u0435 \u0433\u043E\u043B\u0435\u043C\u0438\u0442\u0435 \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u043E\u043D\u043D\u0438 \u043C\u0430\u0441\u0438\u0432\u0438 \u0441\u0430 \u0437\u043D\u0430\u0447\u0438\u0442\u0435\u043B\u043D\u0438 \u043F\u043E \u0440\u0430\u0437\u043C\u0435\u0440 (\u0442.\u0435. \u0438\u043C\u0430\u0442 \u201E\u043E\u0431\u0435\u043C\u201C), \u0440\u0430\u0437\u043D\u043E\u0440\u043E\u0434\u043D\u0438 (\u0442.\u0435. \u0438\u0434\u0432\u0430\u0442 \u043E\u0442 \u0440\u0430\u0437\u043B\u0438\u0447\u043D\u0438 \u0438\u0437\u0442\u043E\u0447\u043D\u0438\u0446\u0438 \u0438 \u0441\u0430 \u043F\u043E\u0434 \u201E\u0440\u0430\u0437\u043D\u043E\u043E\u0431\u0440\u0430\u0437\u043D\u0438\u201C \u0444\u043E\u0440\u043C\u0438) \u0438 \u0441\u0435 \u0441\u044A\u0431\u0438\u0440\u0430\u0442 \u0438\u043B\u0438 \u0430\u043D\u0430\u043B\u0438\u0437\u0438\u0440\u0430\u0442 \u0432 \u043F\u043E\u0447\u0442\u0438 \u0440\u0435\u0430\u043B\u043D\u043E \u0432\u0440\u0435\u043C\u0435 (\u0442.\u0435. \u043E\u0442\u043B\u0438\u0447\u0430\u0432\u0430\u0442 \u0441\u0435 \u0441 \u0432\u0438\u0441\u043E\u043A\u0430 \u201E\u0441\u043A\u043E\u0440\u043E\u0441\u0442\u201C). \u0412 \u043D\u044F\u043A\u043E\u0438 \u043E\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u0438\u044F \u0441\u0435 \u043F\u043E\u0434\u0447\u0435\u0440\u0442\u0430\u0432\u0430 \u0438 \u043D\u0435\u043E\u0431\u0445\u043E\u0434\u0438\u043C\u043E\u0441\u0442\u0442\u0430 \u0434\u0430\u043D\u043D\u0438\u0442\u0435 \u0434\u0430 \u0431\u044A\u0434\u0430\u0442 \u0434\u043E\u0441\u0442\u043E\u0432\u0435\u0440\u043D\u0438 (\u0442.\u0435. \u0442\u0440\u044F\u0431\u0432\u0430 \u0434\u0430 \u0441\u0435 \u043E\u0442\u043B\u0438\u0447\u0430\u0432\u0430\u0442 \u0441 \u201E\u0438\u0441\u0442\u0438\u043D\u043D\u043E\u0441\u0442\u201C)."@bg . . "technol\u00F3gia ve\u013Ek\u00FDch d\u00E1t"@sk . "nagy adatt\u00F6megek"@hu . "big data technol\u00F3gia"@hu . "Suuret ja monimutkaiset tietokokonaisuudet, joita on vaikea k\u00E4sitell\u00E4 perinteisill\u00E4 tieto- ja viestint\u00E4teknisill\u00E4 sovelluksilla. Useimmissa m\u00E4\u00E4ritelmiss\u00E4 big dataa kuvataan laajaksi (sill\u00E4 on \"volyymia\"), monimuotoiseksi (sen eri muodot \"vaihtelevat\" ja ovat per\u00E4isin eri l\u00E4hteist\u00E4) ja l\u00E4hestulkoon reaaliajassa ker\u00E4tt\u00E4v\u00E4ksi ja analysoitavaksi (sen k\u00E4sittely on hyvin \"vauhdikasta\"). Joissakin m\u00E4\u00E4ritelmiss\u00E4 my\u00F6s korostetaan, ett\u00E4 datan on oltava luotettavaa (sen on oltava \"virheet\u00F6nt\u00E4)."@fi .