{"id":36986,"date":"2019-10-31T22:15:09","date_gmt":"2019-10-31T19:15:09","guid":{"rendered":"https:\/\/prohoster.info\/blog\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome\/"},"modified":"2019-10-31T22:15:09","modified_gmt":"2019-10-31T19:15:09","slug":"bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome","title":{"rendered":"Date mari, facturare mare: despre BigData \u00een telecomunica\u021bii","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00cen 2008, BigData era un termen nou \u0219i o tendin\u021b\u0103 la mod\u0103. \u00cen 2019, BigData a devenit un obiect de v\u00e2nzare, o surs\u0103 de profit \u0219i un motiv pentru noi proiecte de legisla\u021bie.<\/p>\n<p>\u00cen toamna anului trecut, guvernul rus a ini\u021biat un proiect de lege pentru reglementarea big data. Este interzis\u0103 identificarea persoanelor pe baza informa\u021biilor, dar este permis pe baza solicitan\u021bilor din partea autorit\u0103\u021bilor federale. Procesarea BigData pentru ter\u021bi este permis\u0103 doar dup\u0103 notificarea Roskomnadzor. Legea se aplic\u0103 companiilor care de\u021bin mai mult de 100.000 de adrese de re\u021bea. \u0218i bine\u00een\u021beles, nu putem uita registrul \u2013 se preconizeaz\u0103 crearea unui astfel de registru cu lista operatorilor de baze de date. \u0218i dac\u0103 p\u00e2n\u0103 acum BigData nu era perceput\u0103 \u00een mod serios de to\u021bi, acum va trebui s\u0103 fie luat\u0103 \u00een considerare.<\/p>\n<p>Nu pot ocoli BigData nici eu, ca director al unei companii dezvoltatoare de billing, care proceseaz\u0103 tocmai acest BigData. Voi reflecta asupra big data prin prisma operatorilor de telecomunica\u021bii, prin care sistemele de billing proceseaz\u0103 zilnic fluxuri de informa\u021bii despre mii de abona\u021bi.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Teorema<\/h3>\n<p>\nS\u0103 \u00eencepem, ca \u00eentr-o problem\u0103 de matematic\u0103: mai \u00eent\u00e2i s\u0103 demonstr\u0103m c\u0103 datele operatorilor de telecomunica\u021bii pot fi numite BigData. \u00cen mod standard, big data este caracterizat\u0103 prin trei tr\u0103s\u0103turi VVV, de\u0219i \u00een interpret\u0103ri libere num\u0103rul de \u201eV\u201d a ajuns p\u00e2n\u0103 la \u0219apte.<\/p>\n<p>Volume. Doar MVNO Rostelecom deserve\u0219te mai mult de un milion de abona\u021bi. Operatorii de baz\u0103 \u00ee\u0219i proceseaz\u0103 datele de la 44 la 78 de milioane de persoane. Traficul cre\u0219te \u00een fiecare secund\u0103: \u00een primul trimestru din 2019, abona\u021bii au utilizat de pe telefoanele mobile 3,3 miliarde de GB.<\/p>\n<p>Velocity. Nimeni nu descrie mai bine dinamica dec\u00e2t statisticile, a\u0219a c\u0103 voi trece \u00een revist\u0103 prognozele Cisco. P\u00e2n\u0103 \u00een 2021, 20% din traficul IP va fi de mobil \u2013 acesta va cre\u0219te aproape de trei ori \u00een cinci ani. O treime din conexiunile mobile vor fi de tip M2M \u2013 dezvoltarea IoT va determina o cre\u0219tere de \u0219ase ori a conexiunilor. Internetul lucrurilor va deveni nu doar profitabil, ci \u0219i consumator de resurse, a\u0219a c\u0103 unii operatori se vor concentra doar pe acesta. Iar cei care vor dezvolta IoT ca un serviciu separat vor ob\u021bine un dublu trafic.<\/p>\n<p>Diversitate. Diversitatea este un concept subiectiv, dar operatorii de telecomunica\u021bii \u0219tiu aproape tot despre abona\u021bii lor. De la nume \u0219i date de identificare p\u00e2n\u0103 la modelul telefonului, cump\u0103r\u0103turi, locuri frecventate \u0219i interese. Fi\u0219ierele media sunt p\u0103strate conform legii Yarovaya timp de minim \u0219ase luni. A\u0219adar, s\u0103 consider\u0103m ca axioma c\u0103 datele colectate sunt variate. <\/p>\n<h3>Software \u0219i metodologie<\/h3>\n<p>\nFurnizorii sunt printre cei mai importan\u021bi consumatori de Big Data, de aceea majoritatea metodologiilor de analiz\u0103 a datelor mari pot fi aplicate \u00een industria telecomunica\u021biilor. O alt\u0103 \u00eentrebare este cine este preg\u0103tit s\u0103 investeasc\u0103 \u00een dezvoltarea ML, AI, Deep Learning, \u00een centre de date \u0219i data mining. O gestionare eficient\u0103 a Bazei de Date se bazeaz\u0103 pe infrastructur\u0103 \u0219i echip\u0103, costuri pe care nu toat\u0103 lumea le poate permite. Este recomandat ca \u00eentreprinderile s\u0103 investeasc\u0103 \u00een Big Data, mai ales cele care dispun deja de un depozit corporativ sau dezvolt\u0103 o metodologie de Data Governance. Cei care nu sunt gata pentru investi\u021bii pe termen lung ar trebui s\u0103-\u0219i extind\u0103 treptat arhitectura software-ului \u0219i s\u0103 implementeze componentele pe r\u00e2nd. Modulele grele \u0219i Hadoop pot fi l\u0103sate pe final. Pu\u021bini achizi\u021bioneaz\u0103 solu\u021bii gata f\u0103cute pentru sarcini precum Calitatea Datelor \u0219i Data Mining, de obicei companiile \u00ee\u0219i adapteaz\u0103 sistemul la specifica\u021biile \u0219i nevoile lor \u2013 fie singure, fie cu ajutorul dezvoltatorilor.<\/p>\n<p>Dar nu orice sistem de facturare poate fi modificat pentru a func\u021biona cu Big Data. Mai precis, nu toate pot fi modificate. Pu\u021bini pot face acest lucru.<\/p>\n<p>Trei semne c\u0103 un sistem de facturare are \u0219anse s\u0103 devin\u0103 un instrument de procesare a datelor:<\/p>\n<ul>\n<li>Scalabilitate orizontal\u0103. Software-ul trebuie s\u0103 fie flexibil \u2013 discut\u0103m despre date mari. Cre\u0219terea cantit\u0103\u021bii de informa\u021bii ar trebui s\u0103 fie gestionat\u0103 printr-o cre\u0219tere propor\u021bional\u0103 a \u201ehardului\u201d \u00een cluster. <\/li>\n<li>Rezilien\u021b\u0103. Sistemele prepaid serioase sunt, de obicei, rezistente la erori \u00een mod implicit: facturarea este desf\u0103\u0219urat\u0103 \u00een cluster \u00een mai multe loca\u021bii geografic, astfel \u00eenc\u00e2t acestea s\u0103 se protejeze reciproc. Num\u0103rul de computere din clusterul Hadoop ar trebui s\u0103 fie de asemenea suficient \u00een caz de defectare a unul sau mai multor echipamente.<\/li>\n<li>Localitate. Datele trebuie s\u0103 fie stocate \u0219i procesate \u00eentr-un singur <a class=\"wpil_keyword_link\" href=\"https:\/\/prohoster.info\/ro\/server\/dts-dronten\/\"   title=\"server\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"2496\">server<\/a>, altfel, costurile pentru transferul de date pot fi devastatoare. Una dintre schemele populare ale abord\u0103rii Map-Reduce: HDFS stocheaz\u0103, Spark proceseaz\u0103. Ideal, software-ul ar trebui s\u0103 se integreze f\u0103r\u0103 probleme \u00een infrastructura centrului de date \u0219i s\u0103 fie capabil s\u0103 realizeze trei \u00een unu: s\u0103 colecteze, s\u0103 organizeze \u0219i s\u0103 analizeze informa\u021biile.<\/li>\n<\/ul>\n<p><\/p>\n<h3>Comanda<\/h3>\n<p>\nCe, cum \u0219i \u00een ce scop programul va procesa date mari este decis de echip\u0103. De obicei, aceasta este format\u0103 dintr-o singur\u0103 persoan\u0103 \u2013 data scientist. Cu toate acestea, din punctul meu de vedere, un pachet minim de angaja\u021bi pentru BigData include \u0219i un Product Manager, un Data Engineer \u0219i un manager. Primul \u00een\u021belege serviciile, traduce limbajul tehnic \u00eentr-unul accesibil \u0219i invers. Data Engineer pune modelele \u00een aplicare folosind Java\/Scala \u0219i experimenteaz\u0103 cu Machine Learning. Managerul coordoneaz\u0103, stabile\u0219te obiective \u0219i controleaz\u0103 etapele.<\/p>\n<h3>Probleme<\/h3>\n<p>\nAnume din partea echipei BigData apar, de obicei, problemele la colectarea \u0219i procesarea datelor. Programului trebuie s\u0103-i explici ce s\u0103 colecteze \u0219i cum s\u0103 proceseze \u2013 pentru a face asta, trebuie mai \u00eent\u00e2i s\u0103 \u00een\u021belegi tu \u00eensu\u021bi. Iar la furnizori, lucrurile nu sunt at\u00e2t de simple. Vorbesc despre probleme prin exemplul unei sarcini de reducere a fluctua\u021biei abona\u021bilor \u2013 aceasta este, de fapt, problema pe care operatorii de telecomunica\u021bii \u00eencearc\u0103 s\u0103 o rezolve cu BigData, mai ales.<\/p>\n<p><b>Stabilirea sarcinilor. <\/b>Un caiet de sarcini bine redactat \u0219i diferitele \u00een\u021belegeri ale termenilor sunt o durere de cap veche nu doar pentru freelanceri. Chiar \u0219i abona\u021bii \"r\u0103t\u0103ci\u021bi\" pot fi interpreta\u021bi \u00een moduri diferite \u2013 ca cei care nu folosesc serviciile operatorului timp de o lun\u0103, jum\u0103tate de an sau un an. Iar pentru a crea un MVP pe baza datelor istorice, trebuie s\u0103 \u00een\u021belegi frecven\u021ba revenirii abona\u021bilor din fluctua\u021bie \u2013 cei care au \u00eencercat serviciile altor operatori sau au p\u0103r\u0103sit ora\u0219ul \u0219i au utilizat un alt num\u0103r. \u00cenc\u0103 o \u00eentrebare important\u0103: c\u00e2t timp \u00eenainte de plecarea preconizat\u0103 a abona\u021bilor trebuie s\u0103 determine aceasta furnizorul \u0219i s\u0103 ia m\u0103suri? Cu \u0219ase luni \u00eenainte \u2013 prea devreme, cu o s\u0103pt\u0103m\u00e2n\u0103 \u00eenainte \u2013 deja prea t\u00e2rziu.<\/p>\n<p><b>Confuzia termenilor. <\/b>De obicei, operatorii identific\u0103 clientul dup\u0103 num\u0103rul de telefon, a\u0219a c\u0103 e logic s\u0103 extrag\u0103 semnele \u00een func\u021bie de acesta. Dar ce zici de contul de client sau num\u0103rul aplica\u021biei de serviciu? Trebuie s\u0103 decizi care unitate ar trebui considerat\u0103 client, astfel \u00eenc\u00e2t datele \u00een sistemul operatorului s\u0103 nu difer\u0103. Evaluarea valorii clientului este, de asemenea, pus\u0103 la \u00eendoial\u0103 \u2013 care abonat este mai valoros pentru companie, pentru cui trebuie s\u0103 depunem mai multe eforturi pentru a-l re\u021bine \u0219i care \"vor pleca\" oricum \u0219i nu merit\u0103 s\u0103 cheltuim resurse pe ei.<\/p>\n<p><b>Lipsa de informa\u021bii.<\/b> Nu to\u021bi angaja\u021bii providerului pot explica echipei BigData ce anume influen\u021beaz\u0103 rata de abandon a clien\u021bilor \u0219i cum se calculeaz\u0103 factorii poten\u021biali \u00een facturare. Chiar dac\u0103 unul dintre ace\u0219tia a fost men\u021bionat \u2013 ARPU \u2013 se dovede\u0219te c\u0103 poate fi calculat \u00een mai multe moduri: fie pe baza pl\u0103\u021bilor periodice ale clientului, fie pe baza taxelor automate de facturare. \u00cen procesul de lucru apar milioane de alte \u00eentreb\u0103ri. Acoper\u0103 modelul to\u021bi clien\u021bii, care este costul pentru p\u0103strarea unui client, are sens s\u0103 ne g\u00e2ndim la modele alternative \u0219i ce s\u0103 facem cu clien\u021bii pe care i-am p\u0103strat din gre\u0219eal\u0103.<\/p>\n<p><b>Stabilirea obiectivelor. <\/b>\u0218tiu trei tipuri de erori legate de rezultate care \u00eei fac pe operatori s\u0103 renun\u021be la BigData.<\/p>\n<ol>\n<li>Providerul investe\u0219te \u00een BigData, proceseaz\u0103 gigaocte\u021bi de informa\u021bii, dar ob\u021bine un rezultat care ar fi putut fi atins \u0219i mai ieftin. Se folosesc scheme \u0219i modele simple, analiz\u0103 primitiv\u0103. Costul este de mai multe ori mai mare, iar rezultatul r\u0103m\u00e2ne acela\u0219i.<\/li>\n<li>Operatorul prime\u0219te date complexe, dar nu \u0219tie cum s\u0103 le foloseasc\u0103. Analiza este bine structurat\u0103 \u0219i detaliat\u0103, dar utilitatea acesteia este zero. Rezultatul final nu a fost bine g\u00e2ndit, iar acesta nu poate fi doar \u201ea procesa datele\u201d. A procesa nu este suficient \u2013 analiza trebuie s\u0103 devin\u0103 baza pentru actualizarea proceselor de afaceri.<\/li>\n<li>Un obstacol \u00een utilizarea analizei BigData pot fi procesele de afaceri \u00eenvechite \u0219i software-ul care nu se potrive\u0219te noilor scopuri. Asta \u00eenseamn\u0103 c\u0103 am gre\u0219it \u00een etapa de preg\u0103tire \u2013 nu am planificat algoritmul de ac\u021biune \u0219i etapele de implementare a BigData \u00een activitate.<\/li>\n<\/ol>\n<p><\/p>\n<h3>De ce<\/h3>\n<p>\nVorbind despre rezultate. Voi trece \u00een revist\u0103 metodele de utilizare \u0219i monetizare a BigData pe care deja le folosesc operatorii de telecomunica\u021bii.<br \/>\nProviderii prev\u0103d nu numai rata de abandon a clien\u021bilor, ci \u0219i sarcinile pe sta\u021biile de baz\u0103. <\/p>\n<ol>\n<li>Se analizeaz\u0103 informa\u021biile despre mobilitatea clien\u021bilor, activitate \u0219i servicii pe frecven\u021be. Rezultatul: sc\u0103derea num\u0103rului de supra\u00eenc\u0103rc\u0103ri datorit\u0103 optimiz\u0103rii \u0219i moderniz\u0103rii zonelor problematice ale infrastructurii.<\/li>\n<li>Informa\u021biile despre geolocalizarea clien\u021bilor \u0219i densitatea fluxului sunt utilizate de operatorii de telecomunica\u021bii atunci c\u00e2nd deschid puncte de v\u00e2nzare. Astfel, analiza BigData este deja utilizat\u0103 de MTS \u0219i Vimpelcom pentru planificarea amplas\u0103rii de noi birouri.<\/li>\n<li>Furnizorii monetizeaz\u0103 propriile date mari, oferindu-le companiilor externe. Principalele cereri pentru operatorii BigData provin de la b\u0103ncile comerciale. Prin intermediul bazelor de date, ace\u0219tia urm\u0103resc activit\u0103\u021bile suspecte ale SIM-urilor abona\u021bilor, la care sunt ata\u0219ate cardurile, utiliz\u00e2nd servicii de scoring al riscurilor, verificare \u0219i monitorizare. \u00cen 2017, guvernul Moscovei a solicitat Tele2 datele de mi\u0219care din BigData pentru a planifica infrastructura tehnic\u0103 \u0219i de transport.<\/li>\n<li>Analiza BigData este o oportunitate pre\u021bioas\u0103 pentru marketeri, care pot crea campanii publicitare personalizate pentru mii de grupuri de abona\u021bi, dac\u0103 doresc. Companiile de telecomunica\u021bii agreg\u0103 profile sociale, interese de consum \u0219i modele comportamentale ale abona\u021bilor, apoi folosesc BigData adunat\u0103 pentru a atrage clien\u021bi noi. Totu\u0219i, pentru planificarea pe scar\u0103 larg\u0103 a promov\u0103rii \u0219i PR, func\u021bionalitatea de facturare nu este \u00eentotdeauna suficient\u0103: programul trebuie s\u0103 \u021bin\u0103 cont simultan de numero\u0219i factori \u00eempreun\u0103 cu informa\u021biile detaliate despre clien\u021bi. <\/li>\n<\/ol>\n<p>\n\u00cen timp ce unii \u00eenc\u0103 consider\u0103 BigData un termen gol, \u201emarea patru\u201d deja c\u00e2\u0219tig\u0103 bani din ea. MTS c\u00e2\u0219tig\u0103 14 miliarde de ruble \u00een \u0219ase luni din procesarea datelor mari, iar Tele2 \u0219i-a crescut veniturile din proiecte de trei ori \u0219i jum\u0103tate. BigData se transform\u0103 dintr-un trend \u00eentr-un must-have, pentru care \u00eentreaga structur\u0103 a operatorilor de telecomunica\u021bii se va adapta.<br \/>\n<br \/>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/463179\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 2008 BigData \u0431\u044b\u043b\u0430 \u043d\u043e\u0432\u044b\u043c \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c \u0442\u0440\u0435\u043d\u0434\u043e\u043c. \u0412 2019 BigData \u2013 \u044d\u0442\u043e \u043e\u0431\u044a\u0435\u043a\u0442 \u043f\u0440\u043e\u0434\u0430\u0436\u0438, \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a \u043f\u0440\u0438\u0431\u044b\u043b\u0438 \u0438 \u043f\u043e\u0432\u043e\u0434 \u0434\u043b\u044f \u043d\u043e\u0432\u044b\u0445 \u0437\u0430\u043a\u043e\u043d\u043e\u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432. \u041e\u0441\u0435\u043d\u044c\u044e \u043f\u0440\u043e\u0448\u043b\u043e\u0433\u043e \u0433\u043e\u0434\u0430 \u0440\u043e\u0441\u0441\u0438\u0439\u0441\u043a\u043e\u0435 \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u043e \u0438\u043d\u0438\u0446\u0438\u0438\u0440\u043e\u0432\u0430\u043b\u043e \u0437\u0430\u043a\u043e\u043d\u043e\u043f\u0440\u043e\u0435\u043a\u0442 \u043e \u0440\u0435\u0433\u0443\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0438 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u0417\u0430\u043f\u0440\u0435\u0449\u0430\u0435\u0442\u0441\u044f \u0438\u0434\u0435\u043d\u0442\u0438\u0444\u0438\u0446\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043b\u044e\u0434\u0435\u0439, \u043d\u043e \u0440\u0430\u0437\u0440\u0435\u0448\u0430\u0435\u0442\u0441\u044f \u0434\u0435\u043b\u0430\u0442\u044c \u044d\u0442\u043e \u043f\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0443 \u0444\u0435\u0434\u0435\u0440\u0430\u043b\u044c\u043d\u044b\u0445 \u043e\u0440\u0433\u0430\u043d\u043e\u0432. \u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 BigData \u0434\u043b\u044f \u0442\u0440\u0435\u0442\u044c\u0438\u0445 \u043b\u0438\u0446 \u2013 \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u043e\u0441\u043b\u0435 [&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":[702],"tags":[],"class_list":["post-36986","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 2008 BigData \u0431\u044b\u043b\u0430 \u043d\u043e\u0432\u044b\u043c \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c \u0442\u0440\u0435\u043d\u0434\u043e\u043c.\" \/>\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\/ro\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.2.1\" \/>\n\t\t<meta property=\"og:locale\" content=\"ro_RO\" \/>\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\u0411\u043e\u043b\u044c\u0448\u0438\u043c \u0434\u0430\u043d\u043d\u044b\u043c \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0431\u0438\u043b\u043b\u0438\u043d\u0433: \u043e BigData \u0432 \u0442\u0435\u043b\u0435\u043a\u043e\u043c\u0435 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\u0412 2008 BigData \u0431\u044b\u043b\u0430 \u043d\u043e\u0432\u044b\u043c \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c \u0442\u0440\u0435\u043d\u0434\u043e\u043c.\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/ro\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome\" \/>\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=\"2019-10-31T19:15:09+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2019-10-31T19:15:09+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\udd47Facturarea mare pentru date mari: despre BigData \u00een telecomunica\u021bii | ProHoster","description":"\u00cen 2008, BigData era un termen nou \u0219i o mod\u0103.","canonical_url":"https:\/\/prohoster.info\/ro\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"ro_RO","og:site_name":"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","og:type":"article","og:title":"\ud83e\udd47\u0411\u043e\u043b\u044c\u0448\u0438\u043c \u0434\u0430\u043d\u043d\u044b\u043c \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0431\u0438\u043b\u043b\u0438\u043d\u0433: \u043e BigData \u0432 \u0442\u0435\u043b\u0435\u043a\u043e\u043c\u0435 | ProHoster","og:description":"\u0412 2008 BigData \u0431\u044b\u043b\u0430 \u043d\u043e\u0432\u044b\u043c \u0442\u0435\u0440\u043c\u0438\u043d\u043e\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c \u0442\u0440\u0435\u043d\u0434\u043e\u043c.","og:url":"https:\/\/prohoster.info\/ro\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2019-10-31T19:15:09+00:00","article:modified_time":"2019-10-31T19:15:09+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"36986","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":"2026-02-09 21:51:48","breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-03-01 01:35:27","updated":"2026-02-09 21:51:48","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/36986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/comments?post=36986"}],"version-history":[{"count":1,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/36986\/revisions"}],"predecessor-version":[{"id":159778,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/36986\/revisions\/159778"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/media?parent=36986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/categories?post=36986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/tags?post=36986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}