{"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\/ro\/blog\/administrirovanie\/zakat-epohi-big-data","title":{"rendered":"Sf\u00e2r\u0219itul erei Big Data","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Mul\u021bi autori str\u0103ini sunt de acord c\u0103 epoca Big Data a ajuns la sf\u00e2r\u0219it. Iar prin termenul Big Data se \u00een\u021beleg tehnologii bazate pe Hadoop. Mul\u021bi autori pot chiar s\u0103 numeasc\u0103 cu certitudine data c\u00e2nd Big Data a p\u0103r\u0103sit aceast\u0103 lume, iar aceast\u0103 dat\u0103 este 05.06.2019. <\/p>\n<p>Ce s-a \u00eent\u00e2mplat \u00een aceast\u0103 zi semnificativ\u0103? <\/p>\n<p>\u00cen acea zi, compania MAPR a promis c\u0103 va suspenda activitatea, dac\u0103 nu va g\u0103si fonduri pentru a continua s\u0103 func\u021bioneze. Ulterior, \u00een august 2019, MAPR a fost achizi\u021bionat\u0103 de compania HP. Dar revenind la luna iunie, nu putem s\u0103 nu subliniem tragedia acestui perioad\u0103 pentru pia\u021ba Big Data. \u00cen aceast\u0103 lun\u0103, a avut loc pr\u0103bu\u0219irea cota\u021biilor bursiere ale companiei CLOUDERA \u2013 juc\u0103torul principal de pe pia\u021ba men\u021bionat\u0103, care a efectuat o fuziune cu HORTOWORKS, o companie cronic nep\u0103truns\u0103, \u00een ianuarie a aceluia\u0219i an. Pr\u0103bu\u0219irea a fost destul de semnificativ\u0103, de 43%, \u00een cele din urm\u0103 capitalizarea CLOUDERA sc\u0103z\u00e2nd de la 4,1 miliarde la 1,4 miliarde de dolari.<\/p>\n<p>Este imposibil s\u0103 nu men\u021bion\u0103m c\u0103 zvonurile despre umflarea unei bule \u00een domeniul tehnologiilor bazate pe Hadoop circulau \u00eenc\u0103 din decembrie 2014, dar a rezistat curajos \u00eenc\u0103 aproape cinci ani. Aceste zvonuri se bazau pe refuzul Google, compania \u00een care a fost dezvoltat\u0103 tehnologia Hadoop, de a folosi inven\u021bia sa. Dar tehnologia s-a prins, \u00een perioada trecerii companiilor la solu\u021bii de cloud \u0219i dezvolt\u0103rii explozive a inteligen\u021bei artificiale. A\u0219adar, privind \u00eenapoi, putem spune cu \u00eencredere c\u0103 sf\u00e2r\u0219itul a fost a\u0219teptat.<\/p>\n<p>Astfel, era Big Data a ajuns la sf\u00e2r\u0219it, \u00eens\u0103 \u00een procesul de munc\u0103 cu mari cantit\u0103\u021bi de date, companiile au \u00een\u021beles toate nuan\u021bele lucrului cu acestea, beneficiile pe care Big Data le poate aduce afacerii, precum \u0219i au \u00eenv\u0103\u021bat s\u0103 foloseasc\u0103 inteligen\u021ba artificial\u0103 pentru a extrage valoare din datele brute.<\/p>\n<p>\u00centrebarea devine astfel \u0219i mai intrigant\u0103: ce va veni \u00een locul acestei tehnologii \u0219i cum vor evolua mai departe tehnologiile de analiz\u0103. <br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Analiza augmentat\u0103<\/h3>\n<p>\n \u00cen timpul evenimentelor descrise, companiile care activeaz\u0103 \u00een domeniul analizei datelor nu au stat degeaba. Ceea ce se poate judeca pe baza informa\u021biilor despre tranzac\u021biile efectuate \u00een 2019. \u00cen anul curent, a fost realizat\u0103 cea mai mare tranzac\u021bie de pe pia\u021b\u0103 \u2013 achizi\u021bia de c\u0103tre Salesforce a platformei de analiz\u0103 Tableau pentru 15,7 miliarde de dolari. O tranzac\u021bie mai mic\u0103 a avut loc \u00eentre Google \u0219i Looker. \u0218i, desigur, nu putem s\u0103 nu men\u021bion\u0103m achizi\u021bia realizat\u0103 de compania Qlik \u2013 platforma de big data Attunity.<\/p>\n<p>Liderii pie\u021bei BI \u0219i speciali\u0219tii Gartner declar\u0103 un schimb major \u00een abord\u0103rile de analiz\u0103 a datelor, acest schimb va distruge complet pia\u021ba BI \u0219i va conduce la \u00eenlocuirea BI cu AI. \u00cen acest context, este important s\u0103 men\u021bion\u0103m c\u0103 abrevierea AI nu \u00eenseamn\u0103 \u201eArtificial intelligence\u201d, ci \u201eAugmented Intelligence\u201d. S\u0103 arunc\u0103m o privire mai atent\u0103 asupra a ceea ce se ascunde \u00een spatele cuvintelor \u201eAnaliz\u0103 Augmentat\u0103\u201d. <\/p>\n<p>Analiza augmentat\u0103, la fel ca realitatea augmentat\u0103, se bazeaz\u0103 pe c\u00e2teva postul\u0103ri comune:<\/p>\n<ul>\n<li>capacitatea de a comunica folosind NLP (Natural Language Processing), adic\u0103 \u00een limbaj uman;<\/li>\n<li>utilizarea inteligen\u021bei artificiale, ceea ce \u00eenseamn\u0103 c\u0103 datele vor fi prelucrate mai \u00eent\u00e2i de o inteligen\u021b\u0103 de ma\u0219in\u0103;<\/li>\n<li>\u0219i, desigur, recomand\u0103ri disponibile utilizatorului sistemului, care sunt generate de inteligen\u021ba artificial\u0103.<\/li>\n<\/ul>\n<p>\n Potrivit produc\u0103torilor de platforme de analiz\u0103, utilizarea acestora va fi accesibil\u0103 utilizatorilor care nu dispun de abilit\u0103\u021bi speciale, cum ar fi cunoa\u0219terea SQL sau ai unui limbaj de scriptare similar, care nu au preg\u0103tire statistic\u0103 sau matematic\u0103, \u0219i care nu au cuno\u0219tin\u021be \u00een domeniul limbajelor populare specializate \u00een prelucrarea datelor \u0219i al bibliotecilor corespunz\u0103toare. Aceste persoane, numite \u201eCitizen Data Scientist\u201d, ar trebui s\u0103 aib\u0103 doar o calificare business excep\u021bional\u0103. Sarcina lor este de a capta insight-uri de business din indicii \u0219i prognoze pe care le va oferi inteligen\u021ba artificial\u0103, iar s\u0103 \u00ee\u0219i clarifice intui\u021biile pot utiliza NLP.<\/p>\n<p>Descriind procesul de lucru al utilizatorilor cu sisteme de acest tip, ne putem imagina urm\u0103toarea scen\u0103. O persoan\u0103, venind la birou \u0219i deschiz\u00e2nd aplica\u021bia corespunz\u0103toare, pe l\u00e2ng\u0103 setul familiar de rapoarte \u0219i tablouri de bord, care pot fi analizate prin metode standard (sortare, grupare, efectuarea de opera\u021biuni aritmetice), vede anumite sugestii \u0219i recomand\u0103ri, ceva de genul: \u201ePentru a atinge KPI-ul \u00een ceea ce prive\u0219te num\u0103rul de v\u00e2nz\u0103ri, ar trebui s\u0103 aplica\u021bi o reducere pentru produsele din categoria \u00abGr\u0103din\u0103rit\u00bb\u201d. \u00cen plus, persoana poate apela la mesagerul corporativ: Skype, Slack etc. Poate adresa robotului \u00eentreb\u0103ri, fie \u00een text, fie vocal: \u201eAfi\u0219eaz\u0103-mi cei mai profitabili cinci clien\u021bi\u201d. Dup\u0103 ce prime\u0219te r\u0103spunsul corespunz\u0103tor, trebuie s\u0103 ia decizii optime, baz\u00e2ndu-se pe experien\u021ba sa \u00een afaceri, pentru a aduce profit companiei. <\/p>\n<p>Dac\u0103 facem un pas \u00eenapoi \u0219i privim compunerea informa\u021biilor analizate, produsele de clas\u0103 analiz\u0103 avansat\u0103 pot simplifica via\u021ba oamenilor \u00een aceast\u0103 etap\u0103. Idealul presupune ca utilizatorul s\u0103Specifice doar sursele de informa\u021bii dorite, iar programul se va ocupa singur de crearea modelului de date, legarea tabelelor \u0219i alte sarcini similare.<\/p>\n<p>Toate acestea ar trebui, \u00eenainte de toate, s\u0103 asigure \u201edemocratizarea\u201d datelor, adic\u0103 oricine poate analiza \u00eentreaga mas\u0103 de informa\u021bii disponibile companiei. Procesul de luare a deciziilor trebuie s\u0103 fie sus\u021binut de metode de analiz\u0103 statistic\u0103. Timpul de acces la date trebuie s\u0103 fie minim, astfel \u00eenc\u00e2t nu va fi necesar s\u0103 scrie\u021bi scripturi sau interog\u0103ri SQL. \u0218i, desigur, se va putea economisi pe speciali\u0219tii \u00een Data Science foarte bine pl\u0103ti\u021bi.<\/p>\n<p>Tehnologiile deschid ipotetic perspective foarte promi\u021b\u0103toare pentru afaceri.<\/p>\n<h3>Ce \u00eenlocuie\u0219te Big Data<\/h3>\n<p>\n Dar, de fapt, am \u00eenceput articolul meu cu Big Data. \u0218i nu a\u0219 putea dezvolta acest subiect f\u0103r\u0103 o scurt\u0103 excursie \u00een instrumentele moderne de BI, care sunt adesea bazate pe Big Data. Soarta Big Data este acum clar predestinat\u0103, iar aceasta este tehnologia cloud. Am subliniat tranzac\u021biile efectuate cu furnizorii de BI pentru a demonstra c\u0103 acum fiecare sistem de analiz\u0103 are salvat \u00een cloud, iar serviciile cloud au BI ca interfa\u021b\u0103.<\/p>\n<p>F\u0103r\u0103 a ne uita la pilonii din domeniul bazelor de date precum ORACLE \u0219i Microsoft, este important s\u0103 subliniem direc\u021bia lor preferat\u0103 de dezvoltare a afacerilor, \u0219i anume cloudul. Toate serviciile propuse pot fi g\u0103site \u00een cloud, dar unele servicii cloud nu mai pot fi ob\u021binute on-premise. S-au depus eforturi considerabile pentru utilizarea modelelor de \u00eenv\u0103\u021bare automat\u0103, s-au creat biblioteci disponibile utilizatorilor \u0219i s-au configurat interfe\u021be pentru a facilita lucrul cu modelele, de la selec\u021bia acestora p\u00e2n\u0103 la configurarea timpului de pornire.<\/p>\n<p>Un alt avantaj important al utiliz\u0103rii serviciilor cloud, men\u021bionat de furnizori, este disponibilitatea unor seturi de date practic nelimitate pe orice subiect pentru antrenarea modelelor. <\/p>\n<p>Cu toate acestea, se pune \u00eentrebarea c\u00e2t de bine vor prinde tehnologiile cloud \u00een \u021bara noastr\u0103?<br \/>\n<br \/>Sursa: <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 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" 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