{"id":39573,"date":"2019-10-31T22:36:07","date_gmt":"2019-10-31T19:36:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/zakat-epohi-big-data\/"},"modified":"2019-10-31T22:36:07","modified_gmt":"2019-10-31T19:36:07","slug":"zakat-epohi-big-data","status":"publish","type":"post","link":"https:\/\/prohoster.info\/lv\/blog\/administrirovanie\/zakat-epohi-big-data","title":{"rendered":"Liel\u0101 datu \u0113ras beigas","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Daudz \u0101rvalstu autoru piekr\u012bt, ka Big Data \u0113ra ir beigusies. \u0160aj\u0101 gad\u012bjum\u0101 ar terminu Big Data tiek dom\u0101tas tehnolo\u0123ijas, kas balst\u012btas uz Hadoop. Daudzi autori pat var ar p\u0101rliec\u012bbu nosaukt datumu, kad Big Data pameta \u0161o pasauli, un \u0161is datums ir 05.06.2019. <\/p>\n<p>Kas tad notika \u0161aj\u0101 noz\u012bm\u012bgaj\u0101 dien\u0101? <\/p>\n<p>\u0160aj\u0101 dien\u0101 uz\u0146\u0113mums MAPR sol\u012bja aptur\u0113t savu darb\u012bbu, ja nevar\u0113s atrast l\u012bdzek\u013cus turpm\u0101kai funkcion\u0113\u0161anai. V\u0113l\u0101k, 2019. gada august\u0101, MAPR tika ieg\u0101d\u0101ts uz\u0146\u0113muma HP. Bet atgrie\u017eoties pie j\u016bnija, nevar nenov\u0113rt\u0113t \u0161\u012b perioda tra\u0123iskumu Big Data tirgum. \u0160aj\u0101 m\u0113nes\u012b notika iev\u0113rojams akciju cenu kritums uz\u0146\u0113mumam CLOUDERA \u2013 vado\u0161ajam sp\u0113l\u0113t\u0101jam \u0161aj\u0101 tirg\u016b, kas \u0161\u0101 gada janv\u0101r\u012b apvienoj\u0101s ar past\u0101v\u012bgi zaud\u0113jo\u0161o HORTOWORKS. Kritums bija diezgan iev\u0113rojams, sasniedzot 43%, k\u0101 rezult\u0101t\u0101 CLOUDERA kapitaliz\u0101cija samazin\u0101j\u0101s no 4,1 l\u012bdz 1,4 miljardiem dol\u0101ru.<\/p>\n<p>Nav iesp\u0113jams nenov\u0113rt\u0113t, ka baumas par burbu\u013ca veido\u0161anos tehnolo\u0123ij\u0101s, kas balst\u012btas uz Hadoop, klaus\u012bj\u0101s jau kop\u0161 2014. gada decembra, bet t\u0101s varon\u012bgi tur\u0113j\u0101s v\u0113l gandr\u012bz piecus gadus. \u0160\u012bs baumas bija balst\u012btas uz Google atteikumu, uz\u0146\u0113mum\u0101, kur\u0101 rad\u0101s Hadoop tehnolo\u0123ija, no savas izgudrojuma. Tom\u0113r tehnolo\u0123ija ieguva popularit\u0101ti, p\u0101rejot uz\u0146\u0113mumiem uz m\u0101ko\u0146u apstr\u0101des l\u012bdzek\u013ciem un strauji att\u012bstoties m\u0101ksl\u012bgajam intelektam. T\u0101p\u0113c, raugoties atpaka\u013c, var dro\u0161i teikt, ka n\u0101ve bija gaid\u0101ma.<\/p>\n<p>T\u0101d\u0113j\u0101di Big Data \u0113ra ir beigusies, bet, str\u0101d\u0101jot ar lieliem datiem, uz\u0146\u0113mumi apzin\u0101j\u0101s visus to apstr\u0101des smalkumus, ieguvumus, ko Big Data var sniegt uz\u0146\u0113m\u0113jdarb\u012bbai, un ar\u012b iem\u0101c\u012bj\u0101s izmantot m\u0101ksl\u012bgo intelektu, lai ieg\u016btu v\u0113rt\u012bbu no neapstr\u0101d\u0101tiem datiem.<\/p>\n<p>T\u0101p\u0113c k\u013c\u016bst arvien interesant\u0101ks jaut\u0101jums par to, kas n\u0101ks uz \u0161o tehnolo\u0123iju viet\u0101 un k\u0101 t\u0101l\u0101k att\u012bst\u012bsies anal\u012bzes tehnolo\u0123ijas. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Papla\u0161in\u0101t\u0101 anal\u012bze<\/h3>\n<p>\n Notikumu laik\u0101 datu anal\u012bzes jom\u0101 str\u0101d\u0101jo\u0161\u0101s komp\u0101nijas nenosl\u0113dz\u0101s. Par to liecina 2019. gad\u0101 notiku\u0161o dar\u012bjumu inform\u0101cija. \u0160aj\u0101 gad\u0101 tika veikts liel\u0101kais tirgus dar\u012bjums \u2013 Salesforce ieg\u0101d\u0101j\u0101s anal\u012btisko platformu Tableau par 15,7 miljardiem dol\u0101ru. Maz\u0101ks dar\u012bjums notika starp Google un Looker. Un, protams, nevar nepiemin\u0113t uz\u0146\u0113muma Qlik ieg\u0101di - big data platformu Attunity.<\/p>\n<p>BI tirgus l\u012bderi un Gartner speci\u0101listi zi\u0146o par grandiozu p\u0101rmai\u0146u pieej\u0101s datu anal\u012bz\u0113, kas piln\u012bb\u0101 izn\u012bcin\u0101s BI tirgu un aizst\u0101s to ar AI. \u0160aj\u0101 kontekst\u0101 ir svar\u012bgi atz\u012bm\u0113t, ka sa\u012bsin\u0101jums AI nav \u00abArtificial Intelligence\u00bb, bet \u00abAugmented Intelligence\u00bb. Apskat\u012bsim tuv\u0101k, kas sl\u0113pjas aiz v\u0101rdiem \u00abPapildin\u0101t\u0101 anal\u012btika\u00bb. <\/p>\n<p>Papildin\u0101t\u0101 anal\u012btika, t\u0101pat k\u0101 papildin\u0101t\u0101 realit\u0101te, balst\u0101s uz vair\u0101kiem kop\u012bgiem postul\u0101tiem:<\/p>\n<ul>\n<li>iesp\u0113ju sazin\u0101ties, izmantojot NLP (Natural Language Processing), t.i., cilv\u0113cisk\u0101 valod\u0101;<\/li>\n<li>m\u0101ksl\u012bg\u0101 intelekta izmanto\u0161anu, tas noz\u012bm\u0113, ka dati tiks iepriek\u0161 apstr\u0101d\u0101ti ar ma\u0161\u012bnu intelektu;<\/li>\n<li>un, protams, sist\u0113mas lietot\u0101jam pieejam\u0101s rekomend\u0101cijas, kuras tie\u0161i rad\u012bjis m\u0101ksl\u012bgais intelekts.<\/li>\n<\/ul>\n<p>\n Saska\u0146\u0101 ar anal\u012btisko platformu ra\u017eot\u0101ju viedokli, to izmanto\u0161ana b\u016bs pieejama lietot\u0101jiem, kuriem nav \u012bpa\u0161u prasmju, piem\u0113ram, SQL vai l\u012bdz\u012bgu skriptu valodu zin\u0101\u0161anu, nav statistisk\u0101s vai matem\u0101tisk\u0101s sagatavot\u012bbas, un kuri nezina popul\u0101ros valodas, kas specializ\u0113jas datu apstr\u0101d\u0113, un attiec\u012bg\u0101s bibliot\u0113kas. \u0160\u0101di cilv\u0113ki, ko sauc par \u00abCitizen Data Scientist\u00bb, j\u0101b\u016bt tikai izcilai biznesa kvalifik\u0101cijai. Vi\u0146u uzdevums ir saskat\u012bt biznesa atzi\u0146as no nor\u0101d\u0113m un prognoz\u0113m, ko sniedz m\u0101ksl\u012bgais intelekts, bet preciz\u0113t savas izj\u016btas vi\u0146i var\u0113s, izmantojot NLP.<\/p>\n<p>Aprakstot lietot\u0101ju mijiedarb\u012bbu ar \u0161\u0101da veida sist\u0113m\u0101m, varam iedom\u0101ties \u0161\u0101du ainu. Cilv\u0113ks, ierodoties darb\u0101 un palai\u017eot atbilsto\u0161o lietojumprogrammu, papildus ierastajai p\u0101rskatu un inform\u0101cijas pane\u013cu kopai, ko var analiz\u0113t standartveida veidos (sagrup\u0113\u0161ana, klasifik\u0101cija, matem\u0101tisko darb\u012bbu veik\u0161ana), redz da\u017e\u0101das nor\u0101des un ieteikumus, piem\u0113ram: \"Lai sasniegtu KPI p\u0101r p\u0101rdo\u0161anas apjomiem, jums vajadz\u0113tu piem\u0113rot atlaidi produktiem no kategorijas 'D\u0101rzniec\u012bba'.\" Turkl\u0101t cilv\u0113ks var v\u0113rsties pie korporat\u012bv\u0101 zi\u0146ojumapmai\u0146as r\u012bka: Skype, Slack utt. Vi\u0146\u0161 var uzdot robotam jaut\u0101jumus, tekst\u0101 vai bals\u012b: \"Par\u0101di man piecus visizdev\u012bg\u0101kos klientus.\" Sa\u0146emot atbildi, vi\u0146am j\u0101pie\u0146em optim\u0101ls l\u0113mums, balstoties uz savu pieredzi biznes\u0101 un j\u0101nodro\u0161ina uz\u0146\u0113mumam pe\u013c\u0146a. <\/p>\n<p>Ja atk\u0101psimies soli atpaka\u013c un paskat\u012bsimies uz analiz\u0113jam\u0101s inform\u0101cijas sast\u0101vu, \u0161aj\u0101 posm\u0101 papildin\u0101tas anal\u012btikas produkti var\u0113tu atvieglot cilv\u0113ku dz\u012bvi. Ide\u0101li, lietot\u0101jam vajadz\u0113tu tikai nor\u0101d\u012bt anal\u012btiskajai programmai v\u0113lam\u0101s inform\u0101cijas avotus, un programma pati par\u016bp\u0113tos par datu mode\u013ca izveidi, tabulu savieno\u0161anu un taml\u012bdz\u012bg\u0101m liet\u0101m.<\/p>\n<p>Vis\u0101m \u0161\u012bm darb\u012bb\u0101m vajadz\u0113tu, pirmk\u0101rt, nodro\u0161in\u0101t datu \"demokratiz\u0101ciju\", t.i., jebkuram cilv\u0113kam b\u016btu j\u0101pieder iesp\u0113ja analiz\u0113t visu uz\u0146\u0113mum\u0101 eso\u0161o inform\u0101ciju. L\u0113mumu pie\u0146em\u0161anas process b\u016btu j\u0101balsta uz statistisk\u0101s anal\u012bzes metod\u0113m. Pieejam\u012bbai uz datiem j\u0101b\u016bt minim\u0101lai, lai neb\u016btu nepiecie\u0161ams rakst\u012bt skriptus un SQL vaic\u0101jumus. Un, protams, var\u0113s ietaup\u012bt uz augsti apmaks\u0101tiem Datu zin\u0101tnes speci\u0101listiem.<\/p>\n<p>Hipot\u0113tiski tehnolo\u0123ijas atver diezgan optimistiskas iesp\u0113jas biznesam.<\/p>\n<h3>Kas aizvieto Big Data<\/h3>\n<p>\n Tom\u0113r, es s\u0101ku savu rakstu ar Big Data. Un turpin\u0101t \u0161o t\u0113mu es nevar\u0113ju bez \u012bs\u0101 ekskurs\u0101 modernajos BI r\u012bkos, kuru pamats bie\u017ei ir Big Data. Lielo datu liktenis tagad ir skaidri noteikts, un tas ir m\u0101ko\u0146u tehnolo\u0123ijas. Es izc\u0113lu dar\u012bjumus, kas nosl\u0113gti ar BI ra\u017eot\u0101jiem, lai par\u0101d\u012btu, ka tagad katrai anal\u012btiskajai sist\u0113mai ir m\u0101ko\u0146u kr\u0101tuve, un m\u0101ko\u0146u pakalpojumi pied\u0101v\u0101 BI k\u0101 front-end.<\/p>\n<p>Neaizmirstot par t\u0101diem datu b\u0101zu st\u016brakme\u0146iem k\u0101 ORACLE un Microsoft, j\u0101atz\u012bm\u0113 vi\u0146u izv\u0113l\u0113tais biznesa att\u012bst\u012bbas virziens, un tas ir m\u0101ko\u0146tehnolo\u0123ijas. Visi pied\u0101v\u0101tie pakalpojumi ir pieejami m\u0101ko\u0146os, ta\u010du da\u017ei m\u0101ko\u0146u pakalpojumi jau nav pieejami uz vietas. Vi\u0146i ir veiku\u0161i iev\u0113rojamu darbu, izmantojot ma\u0161\u012bnm\u0101c\u012b\u0161an\u0101s mode\u013cus, izveidoju\u0161i bibliot\u0113kas, kas ir pieejamas lietot\u0101jiem, un iestat\u012bju\u0161i saskarnes, lai atvieglotu darbu ar mode\u013ciem no to izv\u0113les l\u012bdz uzst\u0101d\u012b\u0161anas laikam.<\/p>\n<p>V\u0113l viens noz\u012bm\u012bgs m\u0101ko\u0146pakalpojumu izmanto\u0161anas priek\u0161roc\u012bba, ko min ra\u017eot\u0101ji, ir gandr\u012bz neierobe\u017eoti datu kopas par jebkuru t\u0113mu mode\u013cu apm\u0101c\u012bbai. <\/p>\n<p>Tom\u0113r rodas jaut\u0101jums, cik ilgi m\u0101ko\u0146tehnolo\u0123ijas iesak\u0146osies m\u016bsu valst\u012b?<br \/>\n<br \/>Avots: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/473640\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u0438\u043d\u043e\u0441\u0442\u0440\u0430\u043d\u043d\u044b\u0445 \u0430\u0432\u0442\u043e\u0440\u043e\u0432 \u0441\u0445\u043e\u0434\u044f\u0442\u0441\u044f \u043a \u0442\u043e\u043c\u0443, \u0447\u0442\u043e \u044d\u043f\u043e\u0445\u0430 Big Data \u043f\u043e\u0434\u043e\u0448\u043b\u0430 \u043a \u043a\u043e\u043d\u0446\u0443. \u0418 \u0432 \u0434\u0430\u043d\u043d\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435 \u043f\u043e\u0434 \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043c Big Data \u043f\u043e\u043d\u0438\u043c\u0430\u044e\u0442\u0441\u044f \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438, \u043e\u0441\u043d\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043d\u0430 Hadoop. \u041c\u043d\u043e\u0433\u0438\u0435 \u0430\u0432\u0442\u043e\u0440\u044b, \u0434\u0430\u0436\u0435 \u043c\u043e\u0433\u0443\u0442 \u0441 \u0443\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0441\u0442\u044c\u044e \u043d\u0430\u0437\u0432\u0430\u0442\u044c \u0434\u0430\u0442\u0443, \u043a\u043e\u0433\u0434\u0430 Big Data \u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u044d\u0442\u043e\u0442 \u043c\u0438\u0440 \u0438 \u044d\u0442\u0430 \u0434\u0430\u0442\u0430 \u2014 05.06.2019. \u0427\u0442\u043e \u0436\u0435 \u043f\u0440\u043e\u0438\u0437\u043e\u0448\u043b\u043e \u0432 \u044d\u0442\u043e\u0442 \u0437\u043d\u0430\u043c\u0435\u043d\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u0434\u0435\u043d\u044c? \u0412 \u044d\u0442\u043e\u0442 \u0434\u0435\u043d\u044c, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-39573","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" 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