{"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\/cs\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","title":{"rendered":"Data Engineer a Data Scientist: co um\u00ed a kolik vyd\u011bl\u00e1vaj\u00ed","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Spolu s Jelenou Gerasimovovou, vedouc\u00ed katedry \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 na Netologii pokra\u010dujeme ve zkoum\u00e1n\u00ed, jak spolu navz\u00e1jem interaguj\u00ed a \u010d\u00edm se li\u0161\u00ed Data Scientist a Data Engineer.<\/p>\n<p>V prvn\u00ed \u010d\u00e1sti jsme se pod\u00edvali <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/496082\/\">na hlavn\u00ed rozd\u00edly mezi Data Scientist a Data Engineer<\/a><\/noindex>. <\/p>\n<p>V tomto materi\u00e1lu se budeme bavit o tom, jak\u00e9 znalosti a dovednosti by m\u011bli m\u00edt odborn\u00edci, jak\u00e9 vzd\u011bl\u00e1n\u00ed si cen\u00ed zam\u011bstnavatel\u00e9, jak prob\u00edhaj\u00ed pohovory a kolik vyd\u011bl\u00e1vaj\u00ed data in\u017een\u00fd\u0159i a data scientist\u00e9.\u00a0<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Co by m\u011bli v\u011bd\u011bt scientist\u00e9 a in\u017een\u00fd\u0159i<\/h2>\n<p>\nProfilov\u00e9 vzd\u011bl\u00e1n\u00ed pro oba specialisty \u2013 Computer Science.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer a Data Scientist: co um\u00ed a kolik vyd\u011bl\u00e1vaj\u00ed\" src=\"\/wp-content\/uploads\/2020\/04\/14e804895cb4eac665c2b8558a5911ba.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nKa\u017ed\u00fd datov\u00fd odborn\u00edk \u2013 data scientist nebo analytik \u2013 by m\u011bl b\u00fdt schopen dok\u00e1zat spr\u00e1vnost sv\u00fdch z\u00e1v\u011br\u016f. K tomu se neobejde bez znalosti <b>statistiky a p\u0159\u00edbuzn\u00e9 z\u00e1kladn\u00ed matematiky<\/b>.<\/p>\n<p>Strojov\u00e9 u\u010den\u00ed a n\u00e1stroje anal\u00fdzy dat jsou nepostradateln\u00e9 v sou\u010dasn\u00e9m sv\u011bt\u011b. Pokud obvykl\u00e9 n\u00e1stroje nejsou k dispozici, je nutn\u00e9 m\u00edt dovednosti <b>rychle se nau\u010dit nov\u00e9 n\u00e1stroje, vytv\u00e1\u0159et jednoduch\u00e9 skripty pro automatizaci \u00faloh<\/b>.<\/p>\n<p>Je d\u016fle\u017eit\u00e9 zd\u016fraznit, \u017ee odborn\u00edk na data by m\u011bl efektivn\u011b p\u0159edat v\u00fdsledky anal\u00fdzy. V tom mu pom\u016f\u017ee <b>vizualizace dat<\/b> nebo v\u00fdsledk\u016f proveden\u00fdch v\u00fdzkum\u016f a testov\u00e1n\u00ed hypot\u00e9z. Specialist\u00e9 by m\u011bli um\u011bt vytv\u00e1\u0159et diagramy a grafy, pou\u017e\u00edvat n\u00e1stroje vizualizace, ch\u00e1pat a vyjas\u0148ovat data z dashboard\u016f.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer a Data Scientist: co um\u00ed a kolik vyd\u011bl\u00e1vaj\u00ed\" src=\"\/wp-content\/uploads\/2020\/04\/f701a922442a01286c340314861ab343.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPro datov\u00e9ho in\u017een\u00fdra se na prvn\u00edm m\u00edst\u011b objevuj\u00ed t\u0159i sm\u011bry.<\/p>\n<p><b>Algoritmy a datov\u00e9 struktury<\/b>. Je d\u016fle\u017eit\u00e9 si osvojit psan\u00ed k\u00f3du a vyu\u017e\u00edv\u00e1n\u00ed z\u00e1kladn\u00edch struktur a algoritm\u016f:<\/p>\n<ul>\n<li>anal\u00fdza slo\u017eitosti algoritm\u016f,<\/li>\n<li>schopnost ps\u00e1t srozumiteln\u00fd, udr\u017eovateln\u00fd k\u00f3d,\u00a0<\/li>\n<li>d\u00e1vkov\u00e1 zpracov\u00e1n\u00ed,<\/li>\n<li>zpracov\u00e1n\u00ed v re\u00e1ln\u00e9m \u010dase.<\/li>\n<\/ul>\n<p>\n<b>Datab\u00e1ze a datov\u00e9 sklady, Business Intelligence<\/b>:<\/p>\n<ul>\n<li>\u00falo\u017ei\u0161t\u011b a zpracov\u00e1n\u00ed dat,<\/li>\n<li>navrhov\u00e1n\u00ed integrovan\u00fdch syst\u00e9m\u016f,<\/li>\n<li>Data Ingestion,<\/li>\n<li>distribuovan\u00e9 souborov\u00e9 syst\u00e9my.<\/li>\n<\/ul>\n<p>\n<b>Hadoop a Big Data<\/b>. Dat je st\u00e1le v\u00edce, a v horizontu 3\u20135 let se tyto technologie stanou nepostradateln\u00fdmi pro ka\u017ed\u00e9ho in\u017een\u00fdra. Nav\u00edc:<\/p>\n<ul>\n<li>Data Lakes,<\/li>\n<li>pr\u00e1ce s cloudov\u00fdmi poskytovateli.<\/li>\n<\/ul>\n<p>\n<b>Strojov\u00e9 u\u010den\u00ed<\/b> bude vyu\u017e\u00edv\u00e1na v\u0161ude, a je d\u016fle\u017eit\u00e9 rozum\u011bt, jak\u00e9 obchodn\u00ed \u00fakoly pom\u016f\u017ee vy\u0159e\u0161it. Nen\u00ed nutn\u00e9 um\u011bt vytv\u00e1\u0159et modely (s t\u00edm si porad\u00ed data scientist\u00e9), ale je t\u0159eba se vyznat v jejich aplikaci a odpov\u00eddaj\u00edc\u00edch po\u017eadavc\u00edch.<\/p>\n<h2>Kolik vyd\u011bl\u00e1vaj\u00ed in\u017een\u00fd\u0159i a scientist\u00e9<\/h2>\n<p><\/p>\n<h3>P\u0159\u00edjem datov\u00fdch in\u017een\u00fdr\u016f<\/h3>\n<p>\n<b>V mezin\u00e1rodn\u00ed praxi<\/b> po\u010d\u00e1te\u010dn\u00ed plat obvykle \u010din\u00ed 100 000 USD ro\u010dn\u011b a v\u00fdrazn\u011b se zvy\u0161uje s prax\u00ed, podle spole\u010dnosti Glassdoor. Krom\u011b toho firmy \u010dasto nab\u00edzej\u00ed akciov\u00e9 opce a ro\u010dn\u00ed bonusy ve v\u00fd\u0161i 5\u201315 %.<\/p>\n<p><b>V Rusku<\/b> na za\u010d\u00e1tku kari\u00e9ry je plat obvykle nejm\u00e9n\u011b 50 tis\u00edc rubl\u016f v regionech a 80 tis\u00edc v Moskv\u011b. V t\u00e9to f\u00e1zi nen\u00ed po\u017eadov\u00e1na zku\u0161enost krom\u011b absolvovan\u00fdch \u0161kolen\u00ed.<\/p>\n<p>Po 1\u20132 letech pr\u00e1ce se plat pohybuje mezi 90\u2013100 tis\u00edci rubl\u016f.<\/p>\n<p>Rozmez\u00ed se zvy\u0161uje na 120\u2013160 tis\u00edc po 2\u20135 letech. P\u0159id\u00e1vaj\u00ed se faktory jako specializace p\u0159edchoz\u00edch spole\u010dnost\u00ed, velikost projekt\u016f, pr\u00e1ce s big data atd.<\/p>\n<p>Po 5 letech pr\u00e1ce je snaz\u0161\u00ed hledat pracovn\u00ed pozice v p\u0159\u00edbuzn\u00fdch odd\u011blen\u00edch nebo reagovat na specializovan\u00e9 pozice, jako jsou:<\/p>\n<ul>\n<li>Architekt nebo vedouc\u00ed v\u00fdvoj\u00e1\u0159 v bance nebo telekomunikaci - p\u0159ibli\u017en\u011b 250 tis\u00edc.\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Pre-Sales u dodavatele, s jeho\u017e technologiemi jste pracovali, - 200 tis\u00edc plus mo\u017en\u00e9 bonusy (1\u20131,5 milionu rubl\u016f).\u00a0\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Experti na implementaci firemn\u00edch aplikac\u00ed, jako je SAP, - a\u017e 350 tis\u00edc.\n<\/li>\n<\/ul>\n<p><\/p>\n<h3>P\u0159\u00edjem datov\u00fdch v\u011bdc\u016f<\/h3>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/vacancy.newhr.ru\/data\/data\/salary\/Normalresearch.ru_Analysts_2019.pdf\">Studie<\/a><\/noindex> trh analytik\u016f spole\u010dnosti \u201eNorm\u00e1ln\u00ed v\u00fdzkumy\u201c a n\u00e1borov\u00e9 agentury New.HR ukazuje, \u017ee specialist\u00e9 na Data Science obvykle vyd\u011bl\u00e1vaj\u00ed v\u00edce ne\u017e analytici jin\u00fdch obor\u016f.\u00a0<\/p>\n<p>V Rusku je po\u010d\u00e1te\u010dn\u00ed plat datov\u00e9ho v\u011bdce s prax\u00ed do jednoho roku - od 113 tis\u00edc rubl\u016f.\u00a0<\/p>\n<blockquote><p>Jako pracovn\u00ed zku\u0161enost se nyn\u00ed tak\u00e9 po\u010d\u00edt\u00e1 absolvov\u00e1n\u00ed vzd\u011bl\u00e1vac\u00edch program\u016f.<\/p><\/blockquote>\n<p> Po 1\u20132 letech takov\u00fd odborn\u00edk ji\u017e m\u016f\u017ee vyd\u011bl\u00e1vat a\u017e 160 tis\u00edc.<\/p>\n<p>Pro zam\u011bstnance s 4\u20135 lety praxe se rozmez\u00ed zvy\u0161uje na 310 tis\u00edc.<\/p>\n<h2>Jak prob\u00edhaj\u00ed pohovory<\/h2>\n<p>\nNa z\u00e1pad\u011b absolventi odborn\u00fdch program\u016f absolvuj\u00ed prvn\u00ed pohovor v pr\u016fm\u011bru 5 t\u00fddn\u016f po ukon\u010den\u00ed \u0161kolen\u00ed. P\u0159ibli\u017en\u011b 85 % nalezne pr\u00e1ci do 3 m\u011bs\u00edc\u016f.<\/p>\n<p>Proces pohovor\u016f na pozice datov\u00fdch in\u017een\u00fdr\u016f a datov\u00fdch v\u011bdc\u016f se t\u00e9m\u011b\u0159 neli\u0161\u00ed. Obvykle se skl\u00e1d\u00e1 z p\u011bti krok\u016f.<\/p>\n<p><b>Shrnut\u00ed<\/b>. Uchaze\u010d\u016fm s nep\u0159\u00edm\u00fdm p\u0159edchoz\u00edm zku\u0161enostmi (nap\u0159\u00edklad z marketingu) je t\u0159eba pro ka\u017edou spole\u010dnost p\u0159ipravit podrobn\u00fd pr\u016fvodn\u00ed dopis nebo m\u00edt doporu\u010den\u00ed od z\u00e1stupce t\u00e9to spole\u010dnosti.<\/p>\n<p><b>Technick\u00fd screening<\/b>. Obvykle prob\u00edh\u00e1 po telefonu. Skl\u00e1d\u00e1 se z jednoho a\u017e dvou slo\u017eit\u011bj\u0161\u00edch a stejn\u011b tak z n\u011bkolika jednoduch\u00fdch ot\u00e1zek t\u00fdkaj\u00edc\u00edch se sou\u010dasn\u00e9ho pracovn\u00edho prost\u0159ed\u00ed zam\u011bstnavatele.<\/p>\n<p><b>HR pohovor<\/b>. M\u016f\u017ee prob\u00edhat po telefonu. V t\u00e9to f\u00e1zi se hodnot\u00ed obecn\u00e1 p\u0159ijatelnost kandid\u00e1ta a schopnost komunikace.<\/p>\n<p><b>Technick\u00fd pohovor<\/b>. \u010casto prob\u00edh\u00e1 osobn\u011b. V r\u016fzn\u00fdch firm\u00e1ch se \u00farove\u0148 pozic v pracovn\u00edm pl\u00e1nu li\u0161\u00ed a pozice se mohou naz\u00fdvat r\u016fzn\u011b. Proto se v t\u00e9to f\u00e1zi ov\u011b\u0159uj\u00ed technick\u00e9 znalosti.<\/p>\n<p><b>Pohovor s technick\u00fdm \u0159editelem \/ hlavn\u00edm architektem<\/b>. In\u017een\u00fdr a v\u011bdec \u2013 strategick\u00e9 pozice, kter\u00e9 jsou pro mnoho firem nav\u00edc nov\u00e9. Je d\u016fle\u017eit\u00e9, aby potenci\u00e1ln\u00ed kolega zaujal vedouc\u00edho a m\u011bl s n\u00edm shodu ve n\u00e1zorech.<\/p>\n<h2>Co pom\u016f\u017ee v\u011bdc\u016fm a in\u017een\u00fdr\u016fm v kari\u00e9rn\u00edm r\u016fstu<\/h2>\n<p>\nNa trhu se objevila \u0159ada nov\u00fdch n\u00e1stroj\u016f pro pr\u00e1ci s daty. A m\u00e1lokdo se ve v\u0161ech orientuje stejn\u011b dob\u0159e.\u00a0<\/p>\n<p>Mnoho firem nen\u00ed p\u0159ipraveno zam\u011bstn\u00e1vat pracovn\u00edky bez zku\u0161enost\u00ed. Nicm\u00e9n\u011b kandid\u00e1ti s minim\u00e1ln\u00edmi z\u00e1klady a znalost\u00ed va\u0161ich obl\u00edben\u00fdch n\u00e1stroj\u016f mohou z\u00edskat pot\u0159ebn\u00e9 zku\u0161enosti, pokud budou studovat a rozv\u00edjet se samostatn\u011b.<\/p>\n<h3>U\u017eite\u010dn\u00e9 vlastnosti pro datov\u00e9ho in\u017een\u00fdra a datov\u00e9ho v\u011bdce<\/h3>\n<p>\n<b>Touha a schopnost se u\u010dit<\/b>. Nen\u00ed nutn\u00e9 okam\u017eit\u011b prchat za zku\u0161enostmi nebo m\u011bnit pr\u00e1ci kv\u016fli nov\u00e9mu n\u00e1stroji, ale je t\u0159eba b\u00fdt p\u0159ipraven p\u0159epnout do nov\u00e9 oblasti.<\/p>\n<p><b>Usilov\u00e1n\u00ed o automatizaci rutinn\u00edch proces\u016f<\/b>. To je d\u016fle\u017eit\u00e9 nejen pro produktivitu, ale i pro udr\u017een\u00ed vysok\u00e9 kvality dat a rychlosti jejich dod\u00e1n\u00ed ke kone\u010dn\u00e9mu u\u017eivateli.<\/p>\n<p><b>Pozornost a pochopen\u00ed \u201eco se d\u011bje pod kapotou\u201c proces\u016f<\/b>. Rychleji vy\u0159e\u0161\u00ed probl\u00e9m ten specialista, kter\u00fd m\u00e1 zku\u0161enosti a d\u016fkladn\u00e9 znalosti proces\u016f.<\/p>\n<p>Krom\u011b skv\u011bl\u00e9ho znalost algoritm\u016f, datov\u00fdch struktur a pipeline je pot\u0159eba <b>nau\u010dit se myslet produktov\u011b<\/b> \u2014 vid\u011bt architekturu a obchodn\u00ed \u0159e\u0161en\u00ed jako jednu integrovanou celistvost.\u00a0<\/p>\n<p>Nap\u0159\u00edklad je u\u017eite\u010dn\u00e9 vybrat si jakoukoliv zn\u00e1mou slu\u017ebu a vytvo\u0159it pro ni datab\u00e1zi. Pot\u00e9 p\u0159em\u00fd\u0161lejte, jak vyvinout ETL a DW, kter\u00e9 ji napln\u00ed daty, kdo budou jej\u00ed u\u017eivatel\u00e9 a co je pro n\u011b d\u016fle\u017eit\u00e9 v\u011bd\u011bt o datech, a jak z\u00e1kazn\u00edci interaguj\u00ed s aplikacemi: pro hled\u00e1n\u00ed pr\u00e1ce a seznamov\u00e1n\u00ed, pron\u00e1jem automobil\u016f, aplikaci pro podcasty, vzd\u011bl\u00e1vac\u00ed platformu. <\/p>\n<blockquote><p>Pozice analytika, data scientista a in\u017een\u00fdra jsou si velmi bl\u00edzk\u00e9, tak\u017ee p\u0159echod z jednoho sm\u011bru na druh\u00fd je rychlej\u0161\u00ed ne\u017e z jin\u00fdch oblast\u00ed.<\/p><\/blockquote>\n<p>V ka\u017ed\u00e9m p\u0159\u00edpad\u011b budou m\u00edt lid\u00e9 s jak\u00fdmkoliv IT backgroundem snaz\u0161\u00ed cestu ne\u017e ti, kdo ho nemaj\u00ed. Pr\u016fm\u011brn\u011b se dosp\u011bl\u00ed motivovan\u00ed lid\u00e9 p\u0159e\u0161koluj\u00ed a m\u011bn\u00ed pr\u00e1ci ka\u017ed\u00e9 1,5\u20132 roky. Snadn\u011bji to jde t\u011bm, kte\u0159\u00ed se u\u010d\u00ed ve skupin\u011b a pod veden\u00edm mentora ve srovn\u00e1n\u00ed s t\u011bmi, kdo se spol\u00e9haj\u00ed pouze na otev\u0159en\u00e9 zdroje.<\/p>\n<h2>Od redakce Netologie<\/h2>\n<p>\nPokud se zva\u017eujete povol\u00e1n\u00ed Data Engineera nebo Data Scientista, zveme v\u00e1s k prozkoum\u00e1n\u00ed na\u0161ich kurz\u016f:<\/p>\n<ul>\n<li>Povol\u00e1n\u00ed \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\">Data in\u017een\u00fdr<\/a><\/noindex>\u00bb.\u00a0\u00a0<\/li>\n<li>Povol\u00e1n\u00ed \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\">Data Scientist<\/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\">Analytik dat<\/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 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 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