{"id":78069,"date":"2020-04-16T01:42:42","date_gmt":"2020-04-15T23:42:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut"},"modified":"2020-04-16T01:42:42","modified_gmt":"2020-04-15T23:42:42","slug":"data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sk\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","title":{"rendered":"Data Engineer a Data Scientist: \u010do ovl\u00e1daj\u00fa a ko\u013eko zar\u00e1baj\u00fa","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Spolu s Elenou Gerasimovou, ved\u00facou fakulty \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/navigation\/?direction=data-science?utm_source=habr&amp;utm_medium=externalblog&amp;utm_campaign=bds_all_ou&amp;utm_content=14042020_dataengscientist\">Data Science a analytika<\/a><\/noindex>\u201c v Netologii pokra\u010dujeme vo zisten\u00ed, ako spolu komunikuj\u00fa a \u010d\u00edm sa l\u00ed\u0161ia Data Scientist a Data Engineer.<\/p>\n<p>V prvej \u010dasti sme porozpr\u00e1vali <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/496082\/\">o hlavn\u00fdch rozdieloch medzi Data Scientist a Data Engineer.<\/a><\/noindex>. <\/p>\n<p>V tomto materi\u00e1li sa budeme venova\u0165 tomu, ak\u00e9 vedomosti a zru\u010dnosti by mali odborn\u00edci ma\u0165, ak\u00e9 vzdelanie cen\u00ed zamestn\u00e1vate\u013e, ako prebiehaj\u00fa pohovory, a ko\u013eko zar\u00e1baj\u00fa d\u00e1tov\u00ed in\u017einieri a d\u00e1tov\u00ed vedci.\u00a0<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>\u010co by mali vedie\u0165 vedci a in\u017einieri<\/h2>\n<p>\n\u0160pecializovan\u00e9 vzdelanie pre oboch odborn\u00edkov \u2014 Computer Science.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer a Data Scientist: \u010do ovl\u00e1daj\u00fa a ko\u013eko zar\u00e1baj\u00fa\" src=\"\/wp-content\/uploads\/2020\/04\/14e804895cb4eac665c2b8558a5911ba.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nKa\u017ed\u00fd odborn\u00edk na d\u00e1ta \u2014 d\u00e1tov\u00fd vedec alebo analytik \u2014 by mal vedie\u0165 obhajova\u0165 spr\u00e1vnos\u0165 svojich z\u00e1verov. Na to je nevyhnutn\u00e9 ma\u0165 znalosti <b>\u0161tatistiky a s\u00favisiacej z\u00e1kladnej matematiky.<\/b>.<\/p>\n<p>Strojov\u00e9 u\u010denie a n\u00e1stroje na anal\u00fdzu d\u00e1t s\u00fa nevyhnutn\u00fdmi v s\u00fa\u010dasnom svete. Ak be\u017en\u00e9 n\u00e1stroje nie s\u00fa dostupn\u00e9, je potrebn\u00e9 ma\u0165 zru\u010dnosti <b>r\u00fdchleho osvojenia si nov\u00fdch n\u00e1strojov, vytv\u00e1rania jednoduch\u00fdch skriptov na automatiz\u00e1ciu \u00faloh.<\/b>.<\/p>\n<p>D\u00f4le\u017eit\u00e9 je poznamena\u0165, \u017ee odborn\u00edk na d\u00e1ta by mal \u00fa\u010dinne komunikova\u0165 v\u00fdsledky anal\u00fdzy. V tom mu pom\u00f4\u017ee <b>vizualiz\u00e1cia d\u00e1t<\/b> alebo v\u00fdsledkov vykonan\u00fdch v\u00fdskumov a testovania hypot\u00e9z. Odborn\u00edci by mali vedie\u0165 vytv\u00e1ra\u0165 diagramy a grafy, pou\u017e\u00edva\u0165 n\u00e1stroje na vizualiz\u00e1ciu, ch\u00e1pa\u0165 a vysvet\u013eova\u0165 d\u00e1ta z dashboardov.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer a Data Scientist: \u010do ovl\u00e1daj\u00fa a ko\u013eko zar\u00e1baj\u00fa\" src=\"\/wp-content\/uploads\/2020\/04\/f701a922442a01286c340314861ab343.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPre d\u00e1tov\u00e9ho in\u017einiera s\u00fa na prvom mieste tri oblasti.<\/p>\n<p><b>Algoritmy a d\u00e1tov\u00e9 \u0161trukt\u00fary<\/b>. Je d\u00f4le\u017eit\u00e9 z\u00edska\u0165 prax v p\u00edsan\u00ed k\u00f3du a pou\u017e\u00edvan\u00ed z\u00e1kladn\u00fdch \u0161trukt\u00far a algoritmov:<\/p>\n<ul>\n<li>anal\u00fdza zlo\u017eitosti algoritmov,<\/li>\n<li>schopnos\u0165 p\u00edsa\u0165 zrozumite\u013en\u00fd, udr\u017eiavan\u00fd k\u00f3d,\u00a0<\/li>\n<li>batch processing,<\/li>\n<li>real-time processing.<\/li>\n<\/ul>\n<p>\n<b>Datab\u00e1zy a d\u00e1tov\u00e9 sklady, Business Intelligence<\/b>:<\/p>\n<ul>\n<li>Ulo\u017eenie a spracovanie d\u00e1t,<\/li>\n<li>navrhovanie komplexn\u00fdch syst\u00e9mov,<\/li>\n<li>Data Ingestion,<\/li>\n<li>roz distribu\u010dn\u00e9 s\u00faborov\u00e9 syst\u00e9my.<\/li>\n<\/ul>\n<p>\n<b>Hadoop a Big Data<\/b>. D\u00e1t sa st\u00e1va \u010doraz viac, a na horizonte 3\u20135 rokov bud\u00fa tieto technol\u00f3gie potrebn\u00e9 pre ka\u017ed\u00e9ho in\u017einiera. Navy\u0161e:<\/p>\n<ul>\n<li>Data Lakes,<\/li>\n<li>pr\u00e1ca s cloudov\u00fdmi poskytovate\u013emi.<\/li>\n<\/ul>\n<p>\n<b>Strojov\u00e9 u\u010denie<\/b> bude pou\u017e\u00edvan\u00e9 v\u0161ade, a je d\u00f4le\u017eit\u00e9 pochopi\u0165, ak\u00e9 obchodn\u00e9 \u00falohy to pom\u00f4\u017ee vyrie\u0161i\u0165. Nie je nutn\u00e9 vedie\u0165, ako robi\u0165 modely (s t\u00fdm si poradia d\u00e1tov\u00ed vedci), ale je potrebn\u00e9 rozumie\u0165 ich aplik\u00e1cii a s\u00favisiacim po\u017eiadavk\u00e1m.<\/p>\n<h2>Ko\u013eko zar\u00e1baj\u00fa in\u017einieri a vedci<\/h2>\n<p><\/p>\n<h3>Pr\u00edjem in\u017einierov na spracovanie d\u00e1t<\/h3>\n<p>\n<b>V medzin\u00e1rodnej praxi<\/b> po\u010diato\u010dn\u00fd plat obvykle \u010din\u00ed 100 000 dol\u00e1rov ro\u010dne a v\u00fdrazne st\u00fapa s sk\u00fasenos\u0165ami, pod\u013ea \u00fadajov z port\u00e1lu Glassdoor. Okrem toho spolo\u010dnosti \u010dasto poskytuj\u00fa akciov\u00e9 opcie a ro\u010dn\u00e9 bonusy od 5 do 15%.<\/p>\n<p><b>V Rusku<\/b> na za\u010diatku kari\u00e9ry sa plat obvykle pohybuje od 50 tis\u00edc rub\u013eov v regi\u00f3noch a 80 tis\u00edc v Moskve. V tejto f\u00e1ze nie je potrebn\u00e1 sk\u00fasenos\u0165, okrem absolvovania \u0161kolenia.<\/p>\n<p>O 1 a\u017e 2 roky pr\u00e1ce \u2014 platov\u00fd rozsah 90 a\u017e 100 tis\u00edc rub\u013eov.<\/p>\n<p>Rozsah sa zvy\u0161uje na 120 a\u017e 160 tis\u00edc po 2 a\u017e 5 rokoch. Prid\u00e1vaj\u00fa sa faktory ako \u0161pecializ\u00e1cia predch\u00e1dzaj\u00facich spolo\u010dnost\u00ed, ve\u013ekos\u0165 projektov, pr\u00e1ca s big data a in\u00e9.<\/p>\n<p>Po 5 rokoch pr\u00e1ce je jednoduch\u0161ie h\u013eada\u0165 vo\u013en\u00e9 pracovn\u00e9 miesta v pr\u00edbuzn\u00fdch oddeleniach alebo reagova\u0165 na tak\u00e9 \u00fazko \u0161pecializovan\u00e9 poz\u00edcie, ako s\u00fa:<\/p>\n<ul>\n<li>Architekt alebo ved\u00faci v\u00fdvoj\u00e1r v banke alebo telekomunik\u00e1ci\u00e1ch \u2014 okolo 250 tis\u00edc.\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Pre-sales u dod\u00e1vate\u013ea, s ktor\u00fdm ste najviac spolupracovali, \u2014 200 tis\u00edc plus mo\u017en\u00fd bonus (1 a\u017e 1,5 mili\u00f3na rub\u013eov).\u00a0\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Experti na implement\u00e1ciu podnikov\u00fdch obchodn\u00fdch aplik\u00e1ci\u00ed, ako SAP \u2014 a\u017e 350 tis\u00edc.\n<\/li>\n<\/ul>\n<p><\/p>\n<h3>Pr\u00edjmy d\u00e1tov\u00fdch vedcov<\/h3>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/vacancy.newhr.ru\/data\/data\/salary\/Normalresearch.ru_Analysts_2019.pdf\">\u0160t\u00fadia<\/a><\/noindex> Trh analytikov spolo\u010dnosti \u201eNorm\u00e1lne v\u00fdskumy\u201c a n\u00e1borovej agent\u00fary New.HR ukazuje, \u017ee odborn\u00edci na Data Science v priemere zar\u00e1baj\u00fa viac ako analytici in\u00fdch odborov.\u00a0<\/p>\n<p>V Rusku je po\u010diato\u010dn\u00fd plat d\u00e1tov\u00e9ho vedca so sk\u00fasenos\u0165ami do jedn\u00e9ho roka \u2014 od 113 tis\u00edc rub\u013eov.\u00a0<\/p>\n<blockquote><p>Ako sk\u00fasenos\u0165 sa v s\u00fa\u010dasnosti zoh\u013ead\u0148uje aj absolvovanie vzdel\u00e1vac\u00edch programov.<\/p><\/blockquote>\n<p> O 1 a\u017e 2 roky tak\u00fd odborn\u00edk u\u017e m\u00f4\u017ee zar\u00e1ba\u0165 a\u017e 160 tis\u00edc.<\/p>\n<p>Pre zamestnanca so sk\u00fasenos\u0165ami od 4 do 5 rokov sa platov\u00fd rozsah zvy\u0161uje na 310 tis\u00edc.<\/p>\n<h2>Ako prebiehaj\u00fa pohovory<\/h2>\n<p>\nNa z\u00e1pade absolventi profesijn\u00fdch vzdel\u00e1vac\u00edch programov absolvuj\u00fa prv\u00fd pohovor v priemere po 5 t\u00fd\u017ed\u0148och od ukon\u010denia \u0161t\u00fadia. Pribli\u017ene 85% n\u00e1jde pr\u00e1cu v priebehu 3 mesiacov.<\/p>\n<p>Proces absolvovania pohovorov na poz\u00edcie d\u00e1tov\u00e9ho in\u017einiera a d\u00e1tov\u00e9ho vedca sa prakticky nel\u00ed\u0161i. Zvy\u010dajne sa sklad\u00e1 z piatich k\u00f4l.<\/p>\n<p><b>Zhrnutie<\/b>. Uch\u00e1dza\u010di s ne\u0161pecializovanou predch\u00e1dzaj\u00facou praxou (napr\u00edklad z marketingu) musia pre ka\u017ed\u00fa spolo\u010dnos\u0165 pripravi\u0165 podrobn\u00e9 sprievodn\u00fd list alebo ma\u0165 odpor\u00fa\u010dania od z\u00e1stupcu tejto spolo\u010dnosti.<\/p>\n<p><b>Technick\u00fd screening<\/b>. Zvy\u010dajne prebieha telefonicky. Sklad\u00e1 sa z jedn\u00e9ho a\u017e dvoch zlo\u017eit\u00fdch a rovnak\u00e9ho po\u010dtu jednoduch\u00fdch ot\u00e1zok t\u00fdkaj\u00facich sa aktu\u00e1lneho tech stacku zamestn\u00e1vate\u013ea.<\/p>\n<p><b>HR pohovor<\/b>. M\u00f4\u017ee sa uskuto\u010dni\u0165 telefonicky. V tomto kroku sa kandid\u00e1t preveruje na v\u0161eobecn\u00fa adekv\u00e1tnos\u0165 a schopnos\u0165 komunikova\u0165.<\/p>\n<p><b>Technick\u00e9 pohovor<\/b>. Naj\u010dastej\u0161ie sa kon\u00e1 osobne. V r\u00f4znych spolo\u010dnostiach sa \u00farove\u0148 poz\u00edci\u00ed v pracovnej n\u00e1plni l\u00ed\u0161i a n\u00e1zvy poz\u00edci\u00ed m\u00f4\u017eu by\u0165 r\u00f4zne. Preto sa v tomto kroku preveruj\u00fa predov\u0161etk\u00fdm technick\u00e9 znalosti.<\/p>\n<p><b>Pohovor s technick\u00fdm riadite\u013eom \/ hlavn\u00fdm architektom<\/b>. In\u017einier a vedec s\u00fa strategick\u00e9 poz\u00edcie a pre mnoh\u00e9 spolo\u010dnosti s\u00fa navy\u0161e nov\u00e9. D\u00f4le\u017eit\u00e9 je, aby potenci\u00e1lny kolega zapadol do t\u00edmu a zdie\u013eal n\u00e1zory s ved\u00facim.<\/p>\n<h2>\u010co pom\u00f4\u017ee vedcom a in\u017einierom v kari\u00e9rnom raste<\/h2>\n<p>\nVzniklo mnoho nov\u00fdch n\u00e1strojov na pr\u00e1cu s d\u00e1tami. A m\u00e1lo kto sa rovnako dobre vyzn\u00e1 vo v\u0161etk\u00fdch.\u00a0<\/p>\n<p>Mnoh\u00e9 spolo\u010dnosti nie s\u00fa pripraven\u00e9 zamestn\u00e1va\u0165 zamestnancov bez pracovn\u00fdch sk\u00fasenost\u00ed. Av\u0161ak kandid\u00e1ti s minim\u00e1lnym z\u00e1kladom a znalos\u0165ou z\u00e1kladn\u00fdch popul\u00e1rnych n\u00e1strojov m\u00f4\u017eu z\u00edska\u0165 potrebn\u00e9 sk\u00fasenosti, ak sa bud\u00fa u\u010di\u0165 a rozv\u00edja\u0165 sami.<\/p>\n<h3>U\u017eito\u010dn\u00e9 vlastnosti pre d\u00e1tov\u00e9ho in\u017einiera a d\u00e1tov\u00e9ho vedca<\/h3>\n<p>\n<b>T\u00fa\u017eba a schopnos\u0165 u\u010di\u0165 sa<\/b>. Nie je nevyhnutn\u00e9 ihne\u010f sa honi\u0165 za sk\u00fasenos\u0165ami alebo meni\u0165 pr\u00e1cu kv\u00f4li nov\u00e9mu n\u00e1stroju, ale je d\u00f4le\u017eit\u00e9 by\u0165 pripraven\u00fd prepn\u00fa\u0165 sa na nov\u00fa oblas\u0165.<\/p>\n<p><b>Sna\u017eenie sa o automatiz\u00e1ciu rutinn\u00fdch procesov<\/b>. To je d\u00f4le\u017eit\u00e9 nielen pre produktivitu, ale aj pre udr\u017eanie vysokej kvality d\u00e1t a r\u00fdchlosti ich dodania k z\u00e1kazn\u00edkovi.<\/p>\n<p><b>Pozornos\u0165 a porozumenie tomu, \"\u010do sa deje pod kapotou\" procesov<\/b>. R\u00fdchlej\u0161ie vyrie\u0161i probl\u00e9m ten odborn\u00edk, ktor\u00fd m\u00e1 preh\u013ead a d\u00f4kladn\u00e9 znalosti procesov.<\/p>\n<p>Okrem vynikaj\u00facej znalosti algoritmov, d\u00e1tov\u00fdch \u0161trukt\u00far a pipeline, je potrebn\u00e9 <b>nau\u010di\u0165 sa myslie\u0165 produktmi<\/b> \u2014 vidie\u0165 architekt\u00faru a obchodn\u00e9 rie\u0161enie ako jeden celok.\u00a0<\/p>\n<p>Napr\u00edklad, je u\u017eito\u010dn\u00e9 vzia\u0165 ak\u00fako\u013evek zn\u00e1my slu\u017ebu a vymyslie\u0165 pre \u0148u datab\u00e1zu. Potom rozm\u00fd\u0161\u013ea\u0165, ako vyvin\u00fa\u0165 ETL a DW, ktor\u00e9 ju naplnia d\u00e1tami, ak\u00ed bud\u00fa spotrebitelia a \u010do je pre nich d\u00f4le\u017eit\u00e9 vedie\u0165 o d\u00e1tach, ako aj ako interactuj\u00fa z\u00e1kazn\u00edci s aplik\u00e1ciami: na h\u013eadanie pr\u00e1ce a zoznamovanie, pren\u00e1jom \u00e1ut, aplik\u00e1cia na podcasty, vzdel\u00e1vacia platforma. <\/p>\n<blockquote><p>Poz\u00edcie analytika, d\u00e1tov\u00e9ho vedca a in\u017einiera s\u00fa ve\u013emi bl\u00edzke, preto je prechod z jedn\u00e9ho smeru na druh\u00fd r\u00fdchlej\u0161\u00ed ako z in\u00fdch oblast\u00ed.<\/p><\/blockquote>\n<p>V ka\u017edom pr\u00edpade bude ma\u0165 ktoko\u013evek s IT pozad\u00edm v\u00fdhodu oproti t\u00fdm, ktor\u00ed ho nemaj\u00fa. Priemerne sa dospel\u00ed motivovan\u00ed \u013eudia rekvalifikuj\u00fa a menia zamestnanie ka\u017ed\u00e9 1,5\u20122 roky. Je to \u013eah\u0161ie pre t\u00fdch, ktor\u00ed \u0161tuduj\u00fa v skupine a s mentorom, v porovnan\u00ed s t\u00fdmi, ktor\u00ed sa spoliehaj\u00fa len na otvoren\u00e9 zdroje.<\/p>\n<h2>Od redakcie Netology<\/h2>\n<p>\nAk sa zauj\u00edmate o profesiu d\u00e1tov\u00e9ho in\u017einiera alebo d\u00e1tov\u00e9ho vedca, poz\u00fdvame v\u00e1s presk\u00fama\u0165 programy na\u0161ich kurzov:<\/p>\n<ul>\n<li>Profesia \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/data-engineer?utm_source=habr&amp;utm_medium=externalblog&amp;utm_campaign=bds_deg_ou&amp;utm_content=14042020_dataengscientist\">D\u00e1tov\u00fd in\u017einier<\/a><\/noindex>\u00bb.\u00a0\u00a0<\/li>\n<li>Profesia \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/data-scientist\/?utm_source=habr&amp;utm_medium=externalblog&amp;utm_campaign=bds_ds_ou&amp;utm_content=14042020_dataengscientist\">D\u00e1tov\u00fd vedec<\/a><\/noindex>\u00bb.<\/li>\n<li>Kurz \u201e<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/data-analyst\/?utm_source=habr&amp;utm_medium=externalblog&amp;utm_campaign=bds_da_ou&amp;utm_content=14042020_dataengscientist\">D\u00e1tov\u00fd analytik<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Zdroj: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/497214\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 \u0415\u043b\u0435\u043d\u043e\u0439 \u0413\u0435\u0440\u0430\u0441\u0438\u043c\u043e\u0432\u043e\u0439, \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442\u0430 \u00abData Science \u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430\u00bb \u0432 \u041d\u0435\u0442\u043e\u043b\u043e\u0433\u0438\u0438 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u043c \u0440\u0430\u0437\u0431\u0438\u0440\u0430\u0442\u044c\u0441\u044f, \u043a\u0430\u043a \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0442 \u043c\u0435\u0436\u0434\u0443 \u0441\u043e\u0431\u043e\u0439 \u0438 \u0447\u0435\u043c \u0440\u0430\u0437\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f Data Scientist \u0438 Data Engineer. \u0412 \u043f\u0435\u0440\u0432\u043e\u0439 \u0447\u0430\u0441\u0442\u0438 \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u043b\u0438 \u043e\u0431 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u044f\u0445 Data Scientist \u0438 Data Engineer. \u0412 \u044d\u0442\u043e\u043c \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u0435 \u043f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u043c \u043e \u0442\u043e\u043c, \u043a\u0430\u043a\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438 \u0438 \u043d\u0430\u0432\u044b\u043a\u0430\u043c\u0438 \u0434\u043e\u043b\u0436\u043d\u044b \u043e\u0431\u043b\u0430\u0434\u0430\u0442\u044c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u044b, \u043a\u0430\u043a\u043e\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0446\u0435\u043d\u0438\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0442\u043e\u0434\u0430\u0442\u0435\u043b\u044f\u043c\u0438, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":78070,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-78069","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 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