{"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\/sk\/blog\/news\/bolshim-dannym-bolshoj-billing-o-bigdata-v-telekome","title":{"rendered":"Ve\u013ek\u00fdm d\u00e1tam ve\u013ek\u00e9 fakt\u00fary: o BigData v telekomunik\u00e1ci\u00e1ch","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>V roku 2008 bol BigData nov\u00fdm pojmom a m\u00f3dnym trendom. V roku 2019 je BigData objektom predaja, zdrojom zisku a d\u00f4vodom na nov\u00e9 legislat\u00edvne n\u00e1vrhy.<\/p>\n<p>Na jese\u0148 minul\u00e9ho roka iniciovala rusk\u00e1 vl\u00e1da legislat\u00edvny n\u00e1vrh na regul\u00e1ciu ve\u013ek\u00fdch \u00fadajov. Je zak\u00e1zan\u00e9 identifikova\u0165 osoby na z\u00e1klade inform\u00e1ci\u00ed, av\u0161ak na po\u017eiadanie feder\u00e1lnych org\u00e1nov je to povolen\u00e9. Spracovanie BigData pre tretie strany je mo\u017en\u00e9 iba po ozn\u00e1men\u00ed Roskomnadzoru. Z\u00e1kon sa vz\u0165ahuje na spolo\u010dnosti, ktor\u00e9 disponuj\u00fa viac ako 100 000 sie\u0165ov\u00fdmi adresami. A samozrejme, nem\u00f4\u017eeme sa ob\u00eds\u0165 bez registrov \u2013 predpoklad\u00e1 sa vytvorenie tak\u00e9ho, ktor\u00fd bude obsahova\u0165 zoznam oper\u00e1torov BDD. A ak bola BigData dovtedy pova\u017eovan\u00e1 za nie\u010do, \u010doho sa nie v\u0161etci brali v\u00e1\u017ene, teraz sa s \u0148ou bude musie\u0165 po\u010d\u00edta\u0165.<\/p>\n<p>Ani ja, ako riadite\u013e spolo\u010dnosti vyv\u00edjaj\u00facej billingov\u00fd syst\u00e9m, ktor\u00fd spracov\u00e1va t\u00fato BigData, nem\u00f4\u017eem ob\u00eds\u0165 t\u00e9my BD. Zamysl\u00edm sa nad ve\u013ek\u00fdmi \u00fadajmi z poh\u013eadu telekomunika\u010dn\u00fdch oper\u00e1torov, cez ktor\u00fdch billingov\u00e9 syst\u00e9my prech\u00e1dzaj\u00fa denne toky inform\u00e1ci\u00ed o tis\u00edckach odberate\u013eov.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Teorema<\/h3>\n<p>\nZa\u010dneme, ako vo matematickej \u00falohe: najprv dok\u00e1\u017eeme, \u017ee \u00fadaje telekomunika\u010dn\u00fdch oper\u00e1torov m\u00f4\u017eeme naz\u00fdva\u0165 BigDatou. \u0160tandardne s\u00fa ve\u013ek\u00e9 \u00fadaje charakterizovan\u00e9 tromi znakmi VVV, hoci v vo\u013en\u00fdch interpret\u00e1ci\u00e1ch sa po\u010det \u201eV\u201c dostal a\u017e k siedmim.<\/p>\n<p>Objem. Iba MVNO \u0420\u043e\u0441\u0442\u0435\u043b\u0435\u043a\u043e\u043c obsluhuje viac ako mili\u00f3n odberate\u013eov. K\u013e\u00fa\u010dov\u00ed hostite\u013esk\u00ed oper\u00e1tori spracov\u00e1vaj\u00fa \u00fadaje od 44 do 78 mili\u00f3nov os\u00f4b. Prev\u00e1dzka rastie ka\u017ed\u00fa sekundu: za prv\u00fd kvart\u00e1l 2019 odberatelia u\u017e nasurfovali z mobiln\u00fdch telef\u00f3nov 3,3 miliardy GB.<\/p>\n<p>R\u00fdchlos\u0165. Nikto lep\u0161ie ako \u0161tatistika nezrozpr\u00e1va o dynamike, preto sa pozriem na predpovede spolo\u010dnosti Cisco. Do roku 2021 pripadne 20% IP traffic na mobiln\u00fd traffic \u2013 ten sa zv\u00fd\u0161i takmer trikr\u00e1t za p\u00e4\u0165 rokov. Tretina mobiln\u00fdch pripojen\u00ed bude na M2M \u2013 rozvoj IoT sp\u00f4sob\u00ed \u0161es\u0165n\u00e1sobn\u00fd n\u00e1rast pripojen\u00ed. Internet vec\u00ed sa stane nielen ziskov\u00fdm, ale aj zdrojo\u017erav\u00fdm smerovan\u00edm, preto sa niektor\u00ed oper\u00e1tori zameraj\u00fa len na\u0148. A t\u00ed, ktor\u00ed rozvin\u00fa IoT ako samostatn\u00fa slu\u017ebu, z\u00edskaj\u00fa dvojit\u00fd traffic.<\/p>\n<p>Rozmanitos\u0165. Rozmanitos\u0165 je subjekt\u00edvny pojem, ale telekomunika\u010dn\u00ed oper\u00e1tori skuto\u010dne vedia takmer v\u0161etko o svojich z\u00e1kazn\u00edkoch. Od mena a osobn\u00fdch \u00fadajov a\u017e po model telef\u00f3nu, n\u00e1kupy, nav\u0161tevovan\u00e9 miesta a z\u00e1ujmy. Medi\u00e1lne s\u00fabory pod\u013ea z\u00e1kona Jarovaj s\u00fa uchov\u00e1van\u00e9 najmenej \u0161es\u0165 mesiacov. Tak\u017ee prijmime za axi\u00f3m, \u017ee zhroma\u017eden\u00e9 \u00fadaje s\u00fa rozmanit\u00e9. <\/p>\n<h3>Softv\u00e9r a metodol\u00f3gia<\/h3>\n<p>\nPoskytovatelia s\u00fa jedn\u00fdmi z hlavn\u00fdch spotrebite\u013eov Big Data, a preto s\u00fa v\u00e4\u010d\u0161ina met\u00f3d anal\u00fdzy ve\u013ek\u00fdch d\u00e1t aplikovate\u013en\u00fdch v telekomunika\u010dnom priemysle. In\u00e1 ot\u00e1zka je, kto je ochotn\u00fd investova\u0165 do rozvoja ML, AI, hlbok\u00e9ho u\u010denia, investova\u0165 do d\u00e1tov\u00fdch centier a d\u00e1tov\u00e9ho \u0165a\u017eby. \u00dapln\u00e1 pr\u00e1ca s datab\u00e1zami sa sklad\u00e1 z infra\u0161trukt\u00fary a t\u00edmu, pri\u010dom n\u00e1klady na tieto faktory si nie v\u0161etci m\u00f4\u017eu dovoli\u0165. S invest\u00edciou do Big Data by mali po\u010d\u00edta\u0165 podniky, ktor\u00e9 u\u017e maj\u00fa podnikov\u00e9 \u00falo\u017eisko alebo rozv\u00edjaj\u00fa metodol\u00f3giu spr\u00e1vy d\u00e1t. T\u00fdm, ktor\u00ed e\u0161te nie s\u00fa pripraven\u00ed na dlhodob\u00e9 invest\u00edcie, odpor\u00fa\u010dam postupne zvy\u0161ova\u0165 architekt\u00faru softv\u00e9ru a nasadzova\u0165 komponenty postupne. \u0164a\u017ek\u00e9 moduly a Hadoop m\u00f4\u017eu by\u0165 ponechan\u00e9 na koniec. Len m\u00e1lokto kupuje hotov\u00e9 rie\u0161enia pre \u00falohy ako Data Quality a Data Mining, v\u00e4\u010d\u0161inou spolo\u010dnosti prisp\u00f4sobuj\u00fa syst\u00e9m svojim \u0161pecifik\u00e1m a potreb\u00e1m \u2013 samostatne alebo s pomocou v\u00fdvoj\u00e1rov.<\/p>\n<p>Ale nie ka\u017ed\u00fd billing je mo\u017en\u00e9 modifikova\u0165 na pr\u00e1cu s Big Data. Presnej\u0161ie, modifikova\u0165 nem\u00f4\u017ee ka\u017ed\u00fd. Len m\u00e1lokto to dok\u00e1\u017ee.<\/p>\n<p>Tri znaky, \u017ee billingov\u00fd syst\u00e9m m\u00e1 \u0161ancu sta\u0165 sa n\u00e1strojom na spracovanie datab\u00e1z:<\/p>\n<ul>\n<li>Horizont\u00e1lna \u0161k\u00e1lovate\u013enos\u0165. Softv\u00e9r mus\u00ed by\u0165 flexibiln\u00fd \u2013 ve\u010f hovor\u00edme o ve\u013ek\u00fdch d\u00e1tach. Zvy\u0161ovanie mno\u017estva inform\u00e1ci\u00ed by malo by\u0165 rie\u0161en\u00e9 proporcion\u00e1lnym zvy\u0161ovan\u00edm \u201e\u017eeleza\u201c v klastri. <\/li>\n<li>Odolnos\u0165 vo\u010di chyb\u00e1m. Z\u00e1va\u017en\u00e9 prepaid syst\u00e9my s\u00fa zvy\u010dajne predvolene odoln\u00e9 vo\u010di chyb\u00e1m: billing sa roz\u0165ahuje v klastroch na viacer\u00fdch geografick\u00fdch lokalit\u00e1ch, aby sa navz\u00e1jom automaticky zabezpe\u010dovali. Po\u010d\u00edta\u010dov v Hadoop klastri by malo by\u0165 tie\u017e dostato\u010dne ve\u013ea na pr\u00edpad poruchy jedn\u00e9ho alebo viacer\u00fdch.<\/li>\n<li>Lok\u00e1lnos\u0165. \u00dadaje by mali by\u0165 uchov\u00e1van\u00e9 a spracov\u00e1van\u00e9 na jednom <a class=\"wpil_keyword_link\" href=\"https:\/\/prohoster.info\/sk\/server\/dts-dronten\/\"   title=\"serveri\" data-wpil-keyword-link=\"linked\"  data-wpil-monitor-id=\"2496\">serveri<\/a>, inak by v\u00e1s pren\u00e1\u0161anie \u00fadajov mohlo zruinova\u0165. Jedna z popul\u00e1rnych sch\u00e9m pr\u00edstupu Map-Reduce: HDFS uchov\u00e1va, Spark spracov\u00e1va. Ide\u00e1lne by mal softv\u00e9r bezbolestne integrova\u0165 do infra\u0161trukt\u00fary DC a vedie\u0165 tri v jednom: zhroma\u017e\u010fova\u0165, organizova\u0165 a analyzova\u0165 inform\u00e1cie.<\/li>\n<\/ul>\n<p><\/p>\n<h3>T\u00edm<\/h3>\n<p>\nTo, ako a na ak\u00fd \u00fa\u010del program spracov\u00e1va ve\u013ek\u00e9 d\u00e1ta, ur\u010duje t\u00edm. \u010casto pozost\u00e1va z jedn\u00e9ho \u010dloveka \u2013 data scientista. Pod\u013ea m\u0148a v\u0161ak minim\u00e1lny po\u010det zamestnancov pre Big Data zahr\u0148uje aj produktov\u00e9ho mana\u017e\u00e9ra, Data Engineera a ved\u00faceho. Prv\u00fd rozumie slu\u017eb\u00e1m, preklad\u00e1 technick\u00fd jazyk do \u013eudskej re\u010di a naopak. Data Engineer uv\u00e1dza modely do praxe pomocou Java\/Scala a experimentuje s Machine Learningom. Ved\u00faci koordinuje, stanovuje ciele a kontroluje etapy.<\/p>\n<h3>Probl\u00e9my<\/h3>\n<p>\nPr\u00e1ve zo strany t\u00edmu Big Data zvy\u010dajne vznikaj\u00fa probl\u00e9my pri zbere a spracovan\u00ed d\u00e1t. Programu treba vysvetli\u0165, \u010do zbiera\u0165 a ako spracov\u00e1va\u0165 \u2013 na to, aby to bolo mo\u017en\u00e9 vysvetli\u0165, je potrebn\u00e9 najsk\u00f4r s\u00e1m pochopi\u0165. A u poskytovate\u013eov to nie je tak\u00e9 jednoduch\u00e9. Rozpr\u00e1vam o probl\u00e9moch na pr\u00edklade \u00falohy zni\u017eovania odtoku predplatite\u013eov \u2013 presne t\u00fato \u00falohu sa oper\u00e1tori pok\u00fa\u0161aj\u00fa vyrie\u0161i\u0165 pomocou Big Data predov\u0161etk\u00fdm.<\/p>\n<p><b>Stanovenie \u00faloh. <\/b>Spr\u00e1vne vytvoren\u00e9 TZ a r\u00f4zne ch\u00e1panie pojmov \u2013 storo\u010dn\u00e1 boles\u0165 nielen pre freelancerov. Aj \"odpadl\u00edkov\" predplatite\u013eov je mo\u017en\u00e9 interpretova\u0165 r\u00f4zne \u2013 ako t\u00fdch, ktor\u00ed nevyu\u017e\u00edvaj\u00fa slu\u017eby oper\u00e1tora mesiac, polroka alebo rok. Na vytvorenie MVP na historick\u00fdch \u00fadajoch treba rozumie\u0165 frekvencii n\u00e1vratov predplatite\u013eov z odtoku \u2013 t\u00fdch, ktor\u00ed vysk\u00fa\u0161ali slu\u017eby in\u00fdch oper\u00e1torov alebo odi\u0161li z mesta a pou\u017e\u00edvali in\u00e9 \u010d\u00edslo. \u010eal\u0161ia d\u00f4le\u017eit\u00e1 ot\u00e1zka: za ko\u013eko \u010dasu pred predpokladan\u00fdm odchodom predplatite\u013ea by to mal poskytovate\u013e identifikova\u0165 a prija\u0165 opatrenia? Pol roka \u2013 skoro, t\u00fd\u017ede\u0148 \u2013 u\u017e neskoro.<\/p>\n<p><b>Zamie\u0148anie pojmov. <\/b>Zvy\u010dajne oper\u00e1tori definuj\u00fa klienta pod\u013ea telef\u00f3nneho \u010d\u00edsla, preto je logick\u00e9, \u017ee charakteristiky by sa mali vyklada\u0165 pod\u013ea neho. A \u010do takto \u010d\u00edslo \u00fa\u010dtu alebo \u010d\u00edslo obsluhuj\u00facej aplik\u00e1cie? Treba si ujasni\u0165, ktor\u00fa jednotku je potrebn\u00e9 pova\u017eova\u0165 za klienta, aby \u00fadaje v syst\u00e9me oper\u00e1tora neboli rozli\u0161n\u00e9. Hodnota klienta je tie\u017e ot\u00e1zna \u2013 ktor\u00fd predplatite\u013e je pre spolo\u010dnos\u0165 cennej\u0161\u00ed, o ktor\u00e9ho pou\u017e\u00edvate\u013ea treba vyvin\u00fa\u0165 v\u00e4\u010d\u0161ie \u00fasilie na udr\u017eanie, a ktor\u00ed \"odpadn\u00fa\" tak \u010di tak a nem\u00e1 zmysel na nich vynaklada\u0165 prostriedky.<\/p>\n<p><b>Nedostatok inform\u00e1ci\u00ed.<\/b> \u010ealeko nie v\u0161etci zamestnanci poskytovate\u013ea dok\u00e1\u017eu vysvetli\u0165 t\u00edmu BigData, \u010do presne ovplyv\u0148uje odliv z\u00e1kazn\u00edkov a ako sa po\u010d\u00edtaj\u00fa mo\u017en\u00e9 faktory v billingovom syst\u00e9me. Aj ke\u010f spom\u00ednaj\u00fa jeden z nich \u2013 ARPU, ukazuje sa, \u017ee ho mo\u017eno po\u010d\u00edta\u0165 r\u00f4znymi sp\u00f4sobmi: bu\u010f pod\u013ea periodick\u00fdch platieb z\u00e1kazn\u00edka, alebo pod\u013ea automatick\u00fdch za\u00fa\u010dtovan\u00ed billingov\u00fdm syst\u00e9mom. A po\u010das pr\u00e1ce sa objavuje mili\u00f3n \u010fal\u0161\u00edch ot\u00e1zok. Pokr\u00fdva model v\u0161etk\u00fdch z\u00e1kazn\u00edkov, ak\u00e1 je cena za udr\u017eanie z\u00e1kazn\u00edka, m\u00e1 zmysel prem\u00fd\u0161\u013ea\u0165 o alternat\u00edvnych modeloch a \u010do robi\u0165 so z\u00e1kazn\u00edkmi, ktor\u00fdch sa za\u010dalo nespr\u00e1vne umelo udr\u017eiava\u0165.<\/p>\n<p><b>Cie\u013eov\u00e9 stanovenie. <\/b>Pozn\u00e1m tri druhy ch\u00fdb spojen\u00fdch s v\u00fdsledkom, ktor\u00e9 sp\u00f4sobuj\u00fa, \u017ee oper\u00e1tori s\u00fa sklaman\u00ed z BigData.<\/p>\n<ol>\n<li>Poskytovate\u013e investuje do BigData, spracov\u00e1va gigabajty inform\u00e1ci\u00ed, ale dost\u00e1va v\u00fdsledok, ktor\u00fd mohol z\u00edska\u0165 aj lacnej\u0161ie. Pou\u017e\u00edvaj\u00fa sa jednoduch\u00e9 sch\u00e9my a modely, primit\u00edvna analytika. N\u00e1klady s\u00fa nieko\u013ekokr\u00e1t vy\u0161\u0161ie, ale v\u00fdsledok je rovnak\u00fd.<\/li>\n<li>Oper\u00e1tor na v\u00fdstupe dost\u00e1va mnohotv\u00e1rne \u00fadaje, ale nevie, ako ich vyu\u017ei\u0165. Analytika je tu \u2013 jasn\u00e1 a rozsiahla, ale jej pr\u00ednos je nulov\u00fd. Nie je premyslen\u00fd kone\u010dn\u00fd v\u00fdsledok, ktor\u00fd nem\u00f4\u017ee pozost\u00e1va\u0165 len z cie\u013ea \"spracova\u0165 \u00fadaje\". Spracova\u0165 je m\u00e1lo \u2013 analytika by mala sl\u00fa\u017ei\u0165 ako z\u00e1klad na aktualiz\u00e1ciu podnikov\u00fdch procesov.<\/li>\n<li>Prek\u00e1\u017ekou v pou\u017e\u00edvan\u00ed anal\u00fdzy BigData m\u00f4\u017eu by\u0165 zastaran\u00e9 podnikov\u00e9 procesy a softv\u00e9r, ktor\u00fd nie je vhodn\u00fd pre nov\u00e9 ciele. To znamen\u00e1, \u017ee ne\u00faspe\u0161ne obst\u00e1li v pr\u00edprave \u2013 nepremysleli algoritmus \u010dinnost\u00ed a f\u00e1zy implement\u00e1cie BigData do pr\u00e1ce.<\/li>\n<\/ol>\n<p><\/p>\n<h3>Pre\u010do<\/h3>\n<p>\nNapr\u00edklad k v\u00fdsledkom. Prejdem sa po sp\u00f4soboch vyu\u017eitia a monetiz\u00e1cie BigData, ktor\u00fdmi u\u017e oper\u00e1tori komunik\u00e1cie disponuj\u00fa.<br \/>\nPoskytovatelia predpovedaj\u00fa nielen odliv z\u00e1kazn\u00edkov, ale aj za\u0165a\u017eenie z\u00e1kladn\u00fdch stan\u00edc. <\/p>\n<ol>\n<li>Analyzuje sa inform\u00e1cia o pohybe z\u00e1kazn\u00edkov, aktivite a frekven\u010dn\u00fdch slu\u017eb\u00e1ch. V\u00fdsledok: zn\u00ed\u017eenie po\u010dtu pre\u0165a\u017een\u00ed v\u010faka optimaliz\u00e1cii a moderniz\u00e1cii problematick\u00fdch miest infra\u0161trukt\u00fary.<\/li>\n<li>Inform\u00e1cie o geolok\u00e1cii z\u00e1kazn\u00edkov a hustote toku pou\u017e\u00edvaj\u00fa oper\u00e1tori komunik\u00e1cie pri otv\u00e1ran\u00ed predajn\u00fdch miest. Takto u\u017e vyu\u017e\u00edvaj\u00fa analytiku BigData MTS a Vympelcom na pl\u00e1novanie umiestnenia nov\u00fdch kancel\u00e1ri\u00ed.<\/li>\n<li>Poskytovatelia monetizuj\u00fa svoje ve\u013ek\u00e9 d\u00e1ta pon\u00fakan\u00edm tret\u00edm stran\u00e1m. Hlavn\u00fdmi z\u00e1kazn\u00edkmi oper\u00e1torov BigData s\u00fa komer\u010dn\u00e9 banky. S pomocou datab\u00e1z sleduj\u00fa podozriv\u00e9 aktivity SIM kariet predplatite\u013eov, ku ktor\u00fdm s\u00fa karty viazan\u00e9, vyu\u017e\u00edvaj\u00fa slu\u017eby rizikov\u00e9ho scoringu, verifik\u00e1cie a monitorovania. A v roku 2017 po\u017eiadalo vl\u00e1du Moskvy o anal\u00fdzu pohybu na z\u00e1klade \u00fadajov BigData od spolo\u010dnosti Tele2, aby mohli pl\u00e1nova\u0165 technick\u00fa a dopravn\u00fa infra\u0161trukt\u00faru.<\/li>\n<li>Analytika BigData je zlat\u00e1 ba\u0148a pre market\u00e9rov, ktor\u00ed m\u00f4\u017eu vytv\u00e1ra\u0165 personalizovan\u00e9 reklamn\u00e9 kampane pre tis\u00edce skup\u00edn predplatite\u013eov, ak sa rozhodn\u00fa. Telekomunika\u010dn\u00e9 spolo\u010dnosti agreguj\u00fa soci\u00e1lne profily, spotrebite\u013esk\u00e9 z\u00e1ujmy a behavior\u00e1lne modely predplatite\u013eov a n\u00e1sledne vyu\u017e\u00edvaj\u00fa zozbieran\u00e9 \u00fadaje BigData na z\u00edskavanie nov\u00fdch z\u00e1kazn\u00edkov. Av\u0161ak na rozsiahle pl\u00e1novanie propag\u00e1cie a PR nemus\u00ed ma\u0165 billing v\u017edy dostato\u010dn\u00fa funkcionalitu: program mus\u00ed z\u00e1rove\u0148 zoh\u013eadni\u0165 mno\u017estvo faktorov spolu s podrobn\u00fdmi inform\u00e1ciami o z\u00e1kazn\u00edkoch. <\/li>\n<\/ol>\n<p>\nK\u00fdm niekto st\u00e1le pova\u017euje BigData za pr\u00e1zdny pojazd, \"ve\u013ek\u00e1 \u0161tvorka\" u\u017e na tom zar\u00e1ba. MTS za pol roka zarobila na spracovan\u00ed ve\u013ek\u00fdch d\u00e1t 14 mili\u00e1rd rub\u013eov, zatia\u013e \u010do Tele2 zv\u00fd\u0161ila pr\u00edjmy z projektov na tri a pol n\u00e1sobok. BigData sa men\u00ed z trendu na nevyhnutnos\u0165, pod ktor\u00fa sa bude cel\u00e1 \u0161trukt\u00fara oper\u00e1torov telekomunik\u00e1ci\u00ed prestavova\u0165.<br \/>\n<br \/>Zdroj: <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 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 2008 BigData \u0431\u044b\u043b\u0430 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