{"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\/sk\/blog\/administrirovanie\/zakat-epohi-big-data","title":{"rendered":"Z\u00e1pad \u00e9ry Big Data","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Mnoho zahrani\u010dn\u00fdch autorov sa zhoduje na tom, \u017ee \u00e9ra Big Data sa skon\u010dila. A v tomto pr\u00edpade sa pod term\u00ednom Big Data rozumej\u00fa technol\u00f3gie zalo\u017een\u00e9 na Hadoop. Mnoh\u00ed autori dokonca m\u00f4\u017eu s istotou uvies\u0165 d\u00e1tum, kedy Big Data opustili tento svet, a t\u00fdmto d\u00e1tumom je 05.06.2019. <\/p>\n<p>\u010co sa stalo v tento pam\u00e4tn\u00fd de\u0148? <\/p>\n<p>V tento de\u0148 spolo\u010dnos\u0165 MAPR s\u013e\u00fabila preru\u0161i\u0165 svoju \u010dinnos\u0165, ak nen\u00e1jde prostriedky na \u010fal\u0161ie fungovanie. Nesk\u00f4r, v auguste 2019, bola MAPR odk\u00fapen\u00e1 spolo\u010dnos\u0165ou HP. Ale ak sa vr\u00e1time k j\u00fanu, nemo\u017eno si nev\u0161imn\u00fa\u0165 trag\u00e9diu tohto obdobia pre trh Big Data. V tomto mesiaci do\u0161lo k prepadu akci\u00ed spolo\u010dnosti CLOUDERA - ved\u00faceho hr\u00e1\u010da na ozna\u010denom trhu, ktor\u00e1 sa sp\u00e1jala s chronicky stratovou HORTOWORKS v janu\u00e1ri toho ist\u00e9ho roka. Prepad bol ve\u013emi v\u00fdrazn\u00fd a dosiahol 43 %, pri\u010dom kapitaliz\u00e1cia CLOUDERA poklesla z 4,1 na 1,4 miliardy dol\u00e1rov.<\/p>\n<p>Nemo\u017eno nespomen\u00fa\u0165, \u017ee spr\u00e1vy o nafukovan\u00ed bubliny v oblasti technol\u00f3gi\u00ed zalo\u017een\u00fdch na Hadoop kolovali u\u017e od decembra 2014, ale odolali mu e\u0161te takmer p\u00e4\u0165 rokov. Tieto spr\u00e1vy sa zakladali na odmietnut\u00ed Google, spolo\u010dnosti, ktor\u00e1 vytvorila technol\u00f3giu Hadoop, od svojho vyn\u00e1lezu. Ale technol\u00f3gia pre\u017eila a to v \u010dase prechodu spolo\u010dnost\u00ed k cloudov\u00fdm prostriedkom spracovania a prudk\u00e9ho rozvoja umelej inteligencie. Preto, ak sa ohl\u00e9dneme sp\u00e4\u0165, m\u00f4\u017eeme s istotou poveda\u0165, \u017ee smr\u0165 bola o\u010dak\u00e1van\u00e1.<\/p>\n<p>Tak\u017ee \u00e9ra Big Data sa skon\u010dila, ale po\u010das pr\u00e1ce s ve\u013ek\u00fdmi \u00fadajmi si spolo\u010dnosti uvedomili v\u0161etky nuansy pr\u00e1ce s nimi, v\u00fdhody, ktor\u00e9 Big Data m\u00f4\u017ee prinies\u0165 do podnikania, a takisto sa nau\u010dili pou\u017e\u00edva\u0165 umel\u00fa inteligenciu na z\u00edskavanie hodnoty z surov\u00fdch d\u00e1t.<\/p>\n<p>O to zauj\u00edmavej\u0161\u00ed sa st\u00e1va ot\u00e1zka, \u010do pr\u00edde na mieste tejto technol\u00f3gie a ako sa bud\u00fa \u010falej vyv\u00edja\u0165 analytick\u00e9 technol\u00f3gie. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Doplnkov\u00e1 analytika<\/h3>\n<p>\n Po\u010das op\u00edsan\u00fdch udalost\u00ed, spolo\u010dnosti p\u00f4sobiace v oblasti anal\u00fdzy d\u00e1t nezah\u00e1\u013eali. O tom sved\u010d\u00ed aj inform\u00e1cia o obchodoch, ktor\u00e9 sa uskuto\u010dnili v roku 2019. V aktu\u00e1lnom roku bola uskuto\u010dnen\u00e1 najv\u00e4\u010d\u0161ia transakcia na trhu \u2013 akviz\u00edcia analytickej platformy Tableau spolo\u010dnos\u0165ou Salesforce za 15,7 miliardy dol\u00e1rov. Menej v\u00fdznamn\u00e1 transakcia sa uskuto\u010dnila medzi Google a Looker. A samozrejme, nesmieme zabudn\u00fa\u0165 na akviz\u00edciu big data platformy Attunity spolo\u010dnos\u0165ou Qlik.<\/p>\n<p>L\u00eddri na trhu BI a odborn\u00edci zo spolo\u010dnosti Gartner hl\u00e1sia ohromn\u00fd posun v pr\u00edstupoch k anal\u00fdze d\u00e1t, ktor\u00fd \u00faplne rozvr\u00e1ti trh BI a privedie k nahradeniu BI technol\u00f3giou AI. V tomto kontexte je potrebn\u00e9 zd\u00f4razni\u0165, \u017ee skratka AI neznamen\u00e1 \u201eArtificial Intelligence\u201c, ale \u201eAugmented Intelligence\u201c. Pozrime sa bli\u017e\u0161ie na to, \u010do sa skr\u00fdva za pojmom \u201eDoplnkov\u00e1 analytika\u201c. <\/p>\n<p>Doplnkov\u00e1 analytika, podobne ako doplnkov\u00e1 realita, je zalo\u017een\u00e1 na nieko\u013ek\u00fdch z\u00e1kladn\u00fdch postul\u00e1toch:<\/p>\n<ul>\n<li>mo\u017enosti komunikova\u0165 pomocou NLP (spracovanie prirodzen\u00e9ho jazyka), teda v \u013eudskej re\u010di;<\/li>\n<li>pou\u017eitie umelej inteligencie, \u010do znamen\u00e1, \u017ee d\u00e1ta bud\u00fa predt\u00fdm spracovan\u00e9 strojov\u00fdm inteligentn\u00fdm syst\u00e9mom;<\/li>\n<li>a samozrejme, odpor\u00fa\u010dania dostupn\u00e9 pou\u017e\u00edvate\u013eovi syst\u00e9mu, ktor\u00e9 vygenerovala pr\u00e1ve umel\u00e1 inteligencia.<\/li>\n<\/ul>\n<p>\n Pod\u013ea n\u00e1zorov v\u00fdrobcov analytick\u00fdch platforiem bude ich pou\u017e\u00edvanie dostupn\u00e9 pre pou\u017e\u00edvate\u013eov, ktor\u00ed nemaj\u00fa \u0161peci\u00e1lne zru\u010dnosti, ako je znalos\u0165 SQL alebo podobn\u00e9ho skriptov\u00e9ho jazyka, nemaj\u00fa \u0161tatistick\u00e9 alebo matematick\u00e9 vzdelanie a nepoznaj\u00fa popul\u00e1rne jazyky zameran\u00e9 na spracovanie d\u00e1t a pr\u00edslu\u0161n\u00e9 kni\u017enice. T\u00edto jednotlivci, naz\u00fdvan\u00ed \u201eCitizen Data Scientist\u201c, by mali ma\u0165 iba vynikaj\u00facu obchodn\u00fa kvalifik\u00e1ciu. Ich \u00falohou je zachyti\u0165 obchodn\u00e9 poznatky z podnetov a predpoved\u00ed, ktor\u00e9 im poskytne umel\u00e1 inteligencia, a svoje domnienky bud\u00fa m\u00f4c\u0165 upresni\u0165 pomocou NLP.<\/p>\n<p>Pri popise procesu pr\u00e1ce pou\u017e\u00edvate\u013eov so syst\u00e9mami tejto kateg\u00f3rie si m\u00f4\u017eeme predstavi\u0165 nasleduj\u00facu sc\u00e9nu. Osoba, ke\u010f pr\u00edde do pr\u00e1ce a spust\u00ed pr\u00edslu\u0161n\u00fa aplik\u00e1ciu, okrem obvykl\u00e9ho s\u00faboru spr\u00e1v a panelov, ktor\u00e9 je mo\u017en\u00e9 analyzova\u0165 \u0161tandardn\u00fdmi pr\u00edstupmi (triedenie, skupinovanie, vykon\u00e1vanie aritmetick\u00fdch oper\u00e1ci\u00ed), vid\u00ed ur\u010dit\u00e9 n\u00e1znaky a odpor\u00fa\u010dania, nie\u010do ako: \u201eAby ste dosiahli KPI v po\u010dte predajov, mali by ste aplikova\u0165 z\u013eavu na produkty z kateg\u00f3rie 'Z\u00e1hradn\u00edctvo'.\u201d Okrem toho sa m\u00f4\u017ee obr\u00e1ti\u0165 na firemn\u00fd messenger: Skype, Slack at\u010f. M\u00f4\u017ee sa op\u00fdta\u0165 robota ot\u00e1zky, textom alebo hlasom: \u201eZobraz mi p\u00e4\u0165 najziskovej\u0161\u00edch klientov.\u201d Po obdr\u017ean\u00ed pr\u00edslu\u0161nej odpovede by mal prija\u0165 optim\u00e1lne rozhodnutie na z\u00e1klade svojej biznisovej sk\u00fasenosti a prinies\u0165 spolo\u010dnosti zisk. <\/p>\n<p>Ak urob\u00edme krok sp\u00e4\u0165 a pozrieme sa na zlo\u017eenie analyzovan\u00fdch inform\u00e1ci\u00ed, produkty triedy roz\u0161\u00edrenej analytiky m\u00f4\u017eu zjednodu\u0161i\u0165 \u017eivot \u013eu\u010fom. Ide\u00e1lne sa predpoklad\u00e1, \u017ee pou\u017e\u00edvate\u013e bude musie\u0165 len ozna\u010di\u0165 analytick\u00e9mu produktu zdroje po\u017eadovan\u00fdch inform\u00e1ci\u00ed a program sa u\u017e postar\u00e1 o vytvorenie modelu \u00fadajov, prepojenie tabuliek a podobn\u00e9 \u00falohy.<\/p>\n<p>To v\u0161etko by malo predov\u0161etk\u00fdm zabezpe\u010di\u0165 'demokratiz\u00e1ciu' \u00fadajov, t.j. ka\u017ed\u00fd \u010dlovek sa m\u00f4\u017ee zaobera\u0165 anal\u00fdzou cel\u00e9ho s\u00faboru inform\u00e1ci\u00ed, ktor\u00e9 m\u00e1 spolo\u010dnos\u0165 k dispoz\u00edcii. Proces rozhodovania by mal by\u0165 podporovan\u00fd met\u00f3dami \u0161tatistickej anal\u00fdzy. Doba pr\u00edstupu k \u00fadajom by mala by\u0165 minim\u00e1lna, tak\u017ee nebude potrebn\u00e9 p\u00edsa\u0165 skripty a SQL dotazy. A samozrejme, bude mo\u017en\u00e9 u\u0161etri\u0165 na vysoko platen\u00fdch odborn\u00edkoch na Data Science.<\/p>\n<p>Hypoteticky technol\u00f3gie otv\u00e1raj\u00fa ve\u013emi s\u013eubn\u00e9 vyhliadky pre biznis.<\/p>\n<h3>\u010co nahr\u00e1dza Big Data<\/h3>\n<p>\n Ale, vlastne, za\u010dal som svoj \u010dl\u00e1nok s Big Data. A nemohol som rozvin\u00fa\u0165 t\u00fato t\u00e9mu bez kr\u00e1tkeho exkurzu do s\u00fa\u010dasn\u00fdch BI n\u00e1strojov, ktor\u00fdch z\u00e1kladom s\u00fa \u010dasto pr\u00e1ve Big Data. Osud ve\u013ek\u00fdch \u00fadajov je teraz jasne predur\u010den\u00fd, a to s\u00fa cloudov\u00e9 technol\u00f3gie. Venoval som pozornos\u0165 obchodn\u00fdm dohod\u00e1m uzatvoren\u00fdm s v\u00fdrobcami BI s cie\u013eom demon\u0161trova\u0165, \u017ee teraz ka\u017ed\u00fd analytick\u00fd syst\u00e9m m\u00e1 pod sebou cloudov\u00e9 \u00falo\u017eisko, a cloudov\u00e9 slu\u017eby maj\u00fa BI ako front end.<\/p>\n<p>Nie zab\u00fadaj\u00fac na tak\u00e9 piliere v oblasti datab\u00e1z ako ORACLE a Microsoft, je potrebn\u00e9 zd\u00f4razni\u0165 ich preferovan\u00e9 smerovanie rozvoja biznisu, a to do cloudu. V\u0161etky pon\u00fakan\u00e9 slu\u017eby s\u00fa dostupn\u00e9 v cloude, ale niektor\u00e9 cloudov\u00e9 slu\u017eby u\u017e nemo\u017eno z\u00edska\u0165 on-premise. Urobili v\u00fdznamn\u00fd krok v oblasti vyu\u017e\u00edvania modelov strojov\u00e9ho u\u010denia, vytvorili kni\u017enice dostupn\u00e9 pre pou\u017e\u00edvate\u013eov a nastavili rozhrania pre pohodln\u00fa pr\u00e1cu s modelmi od v\u00fdberu po nastavovanie \u010dasu spustenia.<\/p>\n<p>\u010eal\u0161ou d\u00f4le\u017eitou v\u00fdhodou pou\u017e\u00edvania cloudov\u00fdch slu\u017eieb, ktor\u00fa uv\u00e1dzaj\u00fa v\u00fdrobcovia, je existencia prakticky neobmedzen\u00fdch d\u00e1tov\u00fdch s\u00faborov na ak\u00fako\u013evek t\u00e9mu pre tr\u00e9novanie modelov. <\/p>\n<p>Av\u0161ak, vznik\u00e1 ot\u00e1zka, ako sa cloudov\u00e9 technol\u00f3gie ujm\u00fa v na\u0161ej krajine?<br \/>\n<br \/>Zdroj: <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 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"\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.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/sk\/blog\/administrirovanie\/zakat-epohi-big-data\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.5\" \/>\n\t\t<meta property=\"og:locale\" content=\"sk_SK\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47\u0417\u0430\u043a\u0430\u0442 \u044d\u043f\u043e\u0445\u0438 Big Data | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\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.\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/sk\/blog\/administrirovanie\/zakat-epohi-big-data\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2019-10-31T19:36:07+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2019-10-31T19:36:07+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47Z\u00e1vere\u010dn\u00e1 f\u00e1za \u00e9ry Big Data | ProHoster","description":"Mno\u017estvo zahrani\u010dn\u00fdch autorov sa zhoduje na tom, \u017ee \u00e9ra Big Data sa skon\u010dila. 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