{"id":77176,"date":"2020-04-08T13:42:19","date_gmt":"2020-04-08T11:42:19","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/data-engineer-i-data-scientist-kakaya-voobshhe-raznicza"},"modified":"2020-04-08T13:42:19","modified_gmt":"2020-04-08T11:42:19","slug":"data-engineer-i-data-scientist-kakaya-voobshhe-raznicza","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/data-engineer-i-data-scientist-kakaya-voobshhe-raznicza","title":{"rendered":"Data Engineer dhe Data Scientist: cila \u00ebsht\u00eb ndarja reale?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Profesioni i Data Scientist dhe Data Engineer shpesh ngat\u00ebrrohen. \u00c7do kompani ka specifik\u00ebn e saj n\u00eb pun\u00ebn me t\u00eb dh\u00ebnat, objektivat e ndryshme t\u00eb analiz\u00ebs dhe paraqitjen e ndryshme se kush nga specialist\u00ebt duhet t\u00eb merret me caktimin e pun\u00ebs, prandaj k\u00ebrkesat jan\u00eb gjithmon\u00eb t\u00eb ndryshme.\u00a0<\/p>\n<p>Po shqyrtojm\u00eb se n\u00eb \u00e7far\u00eb diference jan\u00eb k\u00ebta specialist\u00eb, cilat probleme t\u00eb biznesit ata zgjidhin, cilat aft\u00ebsi kan\u00eb dhe sa fitojn\u00eb. Materiali doli t\u00eb jet\u00eb i gjer\u00eb, prandaj e ndam\u00eb at\u00eb n\u00eb dy publikime.<\/p>\n<p>N\u00eb artikullin e par\u00eb, Elena Gerasimova, shefe e fakultetit \"<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=07042020_dataengscientist\">Data Science dhe Analitika<\/a><\/noindex>\" n\u00eb Netology, tregon se cila \u00ebsht\u00eb diferenca midis Data Scientist dhe Data Engineer dhe me cilat mjete ata punojn\u00eb.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Si diferencohen rolet e inxhinier\u00ebve dhe shkenc\u00ebtar\u00ebve t\u00eb t\u00eb dh\u00ebnave<\/h2>\n<p>\nInxhinieri i t\u00eb dh\u00ebnave \u00ebsht\u00eb nj\u00eb specialist q\u00eb, nga nj\u00ebra an\u00eb, zhvillon, teston dhe mban infrastruktur\u00ebn p\u00ebr pun\u00ebn me t\u00eb dh\u00ebnat: bazat e t\u00eb dh\u00ebnave, magazinat dhe sistemet e p\u00ebrpunimit masiv. Nga ana tjet\u00ebr, ai \u00ebsht\u00eb ai q\u00eb pastron dhe \"p\u00ebrgatit\" t\u00eb dh\u00ebnat p\u00ebr t'u p\u00ebrdorur nga analist\u00ebt dhe data scientist, dmth krijon konvikte p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave.<\/p>\n<p>Data Scientist krijon dhe trajnon modele parashikuese (dhe jo vet\u00ebm) duke p\u00ebrdorur algoritme t\u00eb m\u00ebsimit t\u00eb makineris\u00eb dhe rrjeteve nervore, duke i ndihmuar biznesit t\u00eb gjej\u00eb rregulla t\u00eb fshehta, t\u00eb parashikoj\u00eb zhvillimin e ngjarjeve dhe t\u00eb optimizoj\u00eb proceset kryesore t\u00eb biznesit.<\/p>\n<p>Diferenca kryesore midis Data Scientist dhe Data Engineer \u00ebsht\u00eb se zakonisht ata kan\u00eb objektiva t\u00eb ndryshme. T\u00eb dy punojn\u00eb p\u00ebr t\u00eb siguruar q\u00eb t\u00eb dh\u00ebnat t\u00eb jen\u00eb t\u00eb aksesueshme dhe cil\u00ebsore. Por Data Scientist gjen p\u00ebrgjigjet p\u00ebr pyetjet e tij dhe verifikon hipotezat n\u00eb ekosistemin e t\u00eb dh\u00ebnave (p.sh., n\u00eb baz\u00ebn Hadoop), nd\u00ebrsa Data Engineer krijon nj\u00eb pipeline p\u00ebr sh\u00ebrbimin e algoritmit t\u00eb m\u00ebsimit t\u00eb makineris\u00eb t\u00eb shkruar nga data scientist n\u00eb klasterin Spark brenda t\u00eb nj\u00ebjtit ekosistem.\u00a0<\/p>\n<p>Inxhinieri i t\u00eb dh\u00ebnave sjell vler\u00eb p\u00ebr biznesin duke punuar n\u00eb ekip. Detyra e tij \u00ebsht\u00eb t\u00eb jet\u00eb nj\u00eb lidhje e r\u00ebnd\u00ebsishme midis pal\u00ebve t\u00eb ndryshme: nga zhvilluesit deri te konsumator\u00ebt e biznesit p\u00ebr raportimin, dhe t\u00eb rris\u00eb produktivitetin e analist\u00ebve \u2014 nga ata t\u00eb marketingut e produktit deri te BI.\u00a0<\/p>\n<p>Data Scientist, p\u00ebrkundrazi, merr pjes\u00eb aktivisht n\u00eb strategjin\u00eb e kompanis\u00eb dhe nxjerrjen e njohurive, marrjen e vendimeve, implementimin e algoritmeve t\u00eb automatizimit, modelimit dhe gjenerimin e vler\u00ebs nga t\u00eb dh\u00ebnat.<br \/>\n<img decoding=\"async\" alt=\"Data Engineer dhe Data Scientist: cila \u00ebsht\u00eb ndarja reale?\" src=\"\/wp-content\/uploads\/2020\/04\/1ce3e892eb7a354b106dc2f6398ec5e7.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPuna me t\u00eb dh\u00ebna i p\u00ebrmbahet parimit GIGO (garbage in \u2014 garbage out): n\u00ebse analist\u00ebt dhe data scientist kan\u00eb t\u00eb b\u00ebjn\u00eb me t\u00eb dh\u00ebna t\u00eb pap\u00ebrgatitura dhe potencialisht t\u00eb pasakta, at\u00ebher\u00eb rezultatet, madje edhe me algoritmet m\u00eb t\u00eb sofistikuara t\u00eb analiz\u00ebs, do t\u00eb jen\u00eb t\u00eb gabuara.\u00a0<\/p>\n<p>Inxhinier\u00ebt e t\u00eb dh\u00ebnave zgjidhin k\u00ebt\u00eb problem duke nd\u00ebrtuar pipeline p\u00ebr p\u00ebrpunimin, pastrimin dhe transformimin e t\u00eb dh\u00ebnave dhe duke lejuar data scientist t\u00eb punojn\u00eb me t\u00eb dh\u00ebna t\u00eb cil\u00ebsis\u00eb s\u00eb lart\u00eb.\u00a0<\/p>\n<p>N\u00eb treg ka shum\u00eb mjete p\u00ebr pun\u00ebn me t\u00eb dh\u00ebnat q\u00eb mbulojn\u00eb \u00e7do etap\u00eb: nga shfaqja e t\u00eb dh\u00ebnave deri te shfaqja n\u00eb panelin p\u00ebr k\u00ebshillin e drejtor\u00ebve. Dhe \u00ebsht\u00eb e r\u00ebnd\u00ebsishme q\u00eb vendimi p\u00ebr p\u00ebrdorimin e tyre t\u00eb merret nga inxhinieri, \u2014 jo sepse \u00ebsht\u00eb n\u00eb mod\u00eb, por sepse ai n\u00eb t\u00eb v\u00ebrtet\u00eb do t\u00eb ndihmoj\u00eb pjes\u00ebmarr\u00ebsit e tjer\u00eb n\u00eb proces.\u00a0<\/p>\n<p>Kushtimisht: n\u00ebse kompanis\u00eb i duhet t\u00eb bashkoj\u00eb BI dhe ETL \u2014 ngarkimin e t\u00eb dh\u00ebnave dhe p\u00ebrdit\u00ebsimin e raporteve, kjo \u00ebsht\u00eb nj\u00eb themel tipik legacy q\u00eb do t'i duhet t\u00eb p\u00ebrballet Data Engineer (e mira \u00ebsht\u00eb n\u00ebse n\u00eb ekip p\u00ebrve\u00e7 tij do t\u00eb ket\u00eb edhe nj\u00eb arkitekt).<\/p>\n<p><b>Detyrat e Data Engineer<\/b><\/p>\n<ul>\n<li>Zhvillimi, nd\u00ebrtimi dhe mb\u00ebshtetje e infrastruktur\u00ebs p\u00ebr pun\u00ebn me t\u00eb dh\u00ebnat.<\/li>\n<li>Trajtimi i gabimeve dhe krijimi i pajisjeve t\u00eb besueshme p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave.<\/li>\n<li>Shnd\u00ebrrimi i t\u00eb dh\u00ebnave t\u00eb pa strukturara nga burime t\u00eb ndryshme dinamike n\u00eb nj\u00eb form\u00eb t\u00eb nevojshme p\u00ebr analist\u00ebt.<\/li>\n<li>Ofro rekomandime p\u00ebr p\u00ebrmir\u00ebsimin e koherenc\u00ebs dhe cil\u00ebsis\u00eb s\u00eb t\u00eb dh\u00ebnave.<\/li>\n<li>Sigurimi dhe mb\u00ebshtetje e arkitektur\u00ebs s\u00eb t\u00eb dh\u00ebnave, e cila p\u00ebrdoret nga data scientist\u00ebt dhe analist\u00ebt e t\u00eb dh\u00ebnave.<\/li>\n<li>P\u00ebrpunimi dhe ruajtja e t\u00eb dh\u00ebnave n\u00eb m\u00ebnyr\u00eb t\u00eb q\u00ebndrueshme dhe efikase n\u00eb nj\u00eb kluster t\u00eb shp\u00ebrndar\u00eb me dhjetra ose qindra servera.<\/li>\n<li>Vler\u00ebsimi i kompromiseve teknike t\u00eb mjeteve p\u00ebr krijimin e arkitekturave t\u00eb thjeshta, por t\u00eb besueshme, t\u00eb cilat mund t\u00eb p\u00ebrballojn\u00eb d\u00ebshtimet.<\/li>\n<li>Kontrolli dhe mb\u00ebshtetje e rrjedhave t\u00eb t\u00eb dh\u00ebnave dhe sistemeve t\u00eb lidhura (konfigurimi i monitorimit dhe alarmeve).<\/li>\n<\/ul>\n<p>\nKa edhe nj\u00eb specializim tjet\u00ebr brenda trajektores s\u00eb Data Engineer \u2014 inxhinieri i ML. N\u00ebse e p\u00ebrmbledhim, k\u00ebta inxhinier\u00eb specializohen n\u00eb sjelljen e modeleve t\u00eb m\u00ebsimit t\u00eb makineris\u00eb deri n\u00eb implementimin dhe p\u00ebrdorimin industrial. Shpesh, modeli q\u00eb arrin nga data scientist \u00ebsht\u00eb nj\u00eb pjes\u00eb e k\u00ebrkimit dhe ndoshta nuk do t\u00eb funksionoj\u00eb n\u00eb kushte reale.<\/p>\n<p><b>Detyrat e Data Scientist<\/b><\/p>\n<ul>\n<li>Nxjerrja e ve\u00e7orive nga t\u00eb dh\u00ebnat p\u00ebr t\u00eb aplikuar algoritmet e m\u00ebsimit t\u00eb makineris\u00eb.<\/li>\n<li>P\u00ebrdorimi i mjeteve t\u00eb ndryshme t\u00eb t\u00eb m\u00ebsuarit automatizuar p\u00ebr parashikimin dhe klasifikimin e modeleve n\u00eb t\u00eb dh\u00ebna.<\/li>\n<li>Rritja e performanc\u00ebs dhe sakt\u00ebsis\u00eb s\u00eb algorimeve t\u00eb t\u00eb m\u00ebsuarit automatizuar p\u00ebrmes optimizimit dhe rregullimit t\u00eb holl\u00ebsish\u00ebm t\u00eb algorimeve.<\/li>\n<li>Formimi i hipotezave 't\u00eb forta' n\u00eb p\u00ebrputhje me strategjin\u00eb e kompanis\u00eb q\u00eb duhen verifikuar.<\/li>\n<\/ul>\n<p><\/p>\n<blockquote><p>Si Data Engineer ashtu edhe Data Scientist kan\u00eb nj\u00eb kontribut t\u00eb duksh\u00ebm n\u00eb zhvillimin e kultur\u00ebs s\u00eb pun\u00ebs me t\u00eb dh\u00ebna, e cila mund\u00ebson q\u00eb kompania t\u00eb gjeneroj\u00eb fitime t\u00eb m\u00ebdha ose t\u00eb reduktoj\u00eb shpenzimet.<\/p><\/blockquote>\n<p><\/p>\n<h2>Me cilat gjuh\u00eb dhe mjete punojn\u00eb inxhinier\u00ebt dhe shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave<\/h2>\n<p>\nSot, pritshm\u00ebrit\u00eb nga specialist\u00ebt e p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave jan\u00eb ndryshuar. Disa vite m\u00eb par\u00eb, inxhinier\u00ebt p\u00ebrgatisnin k\u00ebrkesa t\u00eb m\u00ebdha SQL, shkruanin manualisht MapReduce dhe p\u00ebrpunonin t\u00eb dh\u00ebnat duke p\u00ebrdorur mjete si Informatica ETL, Pentaho ETL, Talend.\u00a0<\/p>\n<p>N\u00eb vitin 2020, specialist\u00ebt nuk mund t\u00eb kalojn\u00eb pa njohuri n\u00eb Python dhe mjete moderne p\u00ebrllogaritjeje (p\u00ebr shembull, Airflow), si dhe kuptime t\u00eb parimeve t\u00eb pun\u00ebs me platforma cloud (p\u00ebrdorimi i tyre p\u00ebr kursimin e kostove t\u00eb 'harduer\u00ebve', duke respektuar parimet e siguris\u00eb).<\/p>\n<p>SAP, Oracle, MySQL, Redis jan\u00eb mjete tradicionale p\u00ebr inxhinier\u00ebt e t\u00eb dh\u00ebnave n\u00eb kompani t\u00eb m\u00ebdha. Ato jan\u00eb t\u00eb mira, por kostoja e licencave \u00ebsht\u00eb aq e lart\u00eb saq\u00eb ka kuptim t\u00eb m\u00ebsohet p\u00ebrdorimi i tyre vet\u00ebm n\u00eb projekte industriale. N\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb, egziston nj\u00eb alternativ\u00eb falas si Postgres \u2014 ai \u00ebsht\u00eb falas dhe i p\u00ebrshtatsh\u00ebm p\u00ebr m\u00ebsim.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer dhe Data Scientist: cila \u00ebsht\u00eb ndarja reale?\" src=\"\/wp-content\/uploads\/2020\/04\/8a002b86ee3a18d5b232c5232a62dd3e.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nHistorikisht, k\u00ebrkesa p\u00ebr Java dhe Scala ka qen\u00eb e zakonshme, megjithat\u00eb me zhvillimin e teknologjive dhe qasjeve, k\u00ebto gjuh\u00eb po kalojn\u00eb n\u00eb plan t\u00eb dyt\u00eb.<\/p>\n<p>Megjithat\u00eb, Big Data e v\u00ebrtet\u00eb: Hadoop, Spark dhe nj\u00eb 'paku' tjet\u00ebr, nuk jan\u00eb m\u00eb nj\u00eb kusht i domosdosh\u00ebm p\u00ebr inxhinier\u00ebt e t\u00eb dh\u00ebnave, por shembuj mjetesh p\u00ebr zgjidhjen e problemeve q\u00eb nuk mund t\u00eb zgjidhen nga ETL tradicionale.\u00a0<\/p>\n<blockquote><p>Trendi - sh\u00ebrbime p\u00ebr p\u00ebrdorimin e mjeteve pa njohuri t\u00eb gjuh\u00ebs n\u00eb t\u00eb cil\u00ebn ato jan\u00eb shkruar (p\u00ebr shembull, Hadoop pa njohuri n\u00eb Java), si dhe ofrimi i sh\u00ebrbimeve t\u00eb gatshme p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave streaming (njohja e z\u00ebrit ose imazheve n\u00eb video).<\/p><\/blockquote>\n<p>\nZgjidhjet industriale nga SAS dhe SPSS jan\u00eb t\u00eb njohura, nd\u00ebrsa Tableau, Rapidminer, Stata dhe Julia gjithashtu p\u00ebrdoren gjer\u00ebsisht nga shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave p\u00ebr \u00e7\u00ebshtje lokale.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer dhe Data Scientist: cila \u00ebsht\u00eb ndarja reale?\" src=\"\/wp-content\/uploads\/2020\/04\/cf18b6b4fe45d9286f2ec6d14418d28c.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nMund\u00ebsia p\u00ebr t\u00eb nd\u00ebrtuar vet\u00eb pipeline ka ekzistuar p\u00ebr analist\u00ebt dhe shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave vet\u00ebm disa vite m\u00eb par\u00eb: p\u00ebr shembull, tani \u00ebsht\u00eb e mundur t\u00eb drejtohen t\u00eb dh\u00ebnat n\u00eb nj\u00eb depo bazuar n\u00eb PostgreSQL duke p\u00ebrdorur skripte relativisht t\u00eb thjeshta.\u00a0<\/p>\n<p>Zakonisht, p\u00ebrdorimi i konvejeve dhe strukturave t\u00eb integruara t\u00eb t\u00eb dh\u00ebnave mbetet n\u00eb dor\u00eb t\u00eb inxhinier\u00ebve t\u00eb t\u00eb dh\u00ebnave. Por sot, si kurr\u00eb m\u00eb par\u00eb, \u00ebsht\u00eb e fort\u00eb tendencia drejt specialist\u00ebve T-form\u00eb - me kompetenca t\u00eb gjera n\u00eb fushat e af\u00ebrta, pasi mjetet po b\u00ebhen gjithnj\u00eb e m\u00eb t\u00eb thjeshta.<\/p>\n<h2>Pse Data Engineer dhe Data Scientist duhet t\u00eb punojn\u00eb s\u00eb bashku<\/h2>\n<p>\nDuke punuar ngusht\u00eb me inxhinier\u00ebt, Data Scientist mund t\u00eb fokusohen n\u00eb pjes\u00ebn hulumtuese, duke krijuar algoritme t\u00eb gatshme p\u00ebr p\u00ebrdorim n\u00eb t\u00eb m\u00ebsuarin automatizuar.<br \/>\nDhe inxhinier\u00ebt mund t\u00eb p\u00ebrqendrohen n\u00eb shkall\u00ebzueshm\u00ebri, rip\u00ebrdorimin e t\u00eb dh\u00ebnave dhe t\u00eb sigurojn\u00eb q\u00eb konvejet e hyrjes dhe daljes s\u00eb t\u00eb dh\u00ebnave n\u00eb \u00e7do projekt t\u00eb ve\u00e7ant\u00eb t\u00eb p\u00ebrputhen me arkitektur\u00ebn globale. <\/p>\n<p>Kjo ndarje e detyrave siguron nj\u00eb q\u00ebndrim t\u00eb koherenc\u00ebs midis grupeve t\u00eb specialist\u00ebve q\u00eb punojn\u00eb n\u00eb projekte t\u00eb ndryshme t\u00eb t\u00eb m\u00ebsuarit automatizuar.\u00a0<\/p>\n<p>Bashk\u00ebpunimi ndihmon n\u00eb krijimin efikas t\u00eb produkteve t\u00eb reja. Shpejt\u00ebsia dhe cil\u00ebsia arrihen p\u00ebrmes nj\u00eb balancimi mes krijimit t\u00eb nj\u00eb sh\u00ebrbimi p\u00ebr t\u00eb gjith\u00eb (depo globale ose integrimi i panelit t\u00eb kontrollit) dhe realizimin e \u00e7do nevoje apo projekti t\u00eb ve\u00e7ant\u00eb (pipeline t\u00eb specializuar, lidhja me burime t\u00eb jashtme).\u00a0<\/p>\n<p>Puna e ngusht\u00eb me shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave dhe analist\u00ebt ndihmon inxhinier\u00ebt t\u00eb zhvillojn\u00eb aft\u00ebsi analitike dhe k\u00ebrkimore p\u00ebr t\u00eb shkruar m\u00eb shum\u00eb kod t\u00eb cil\u00ebsis\u00eb. P\u00ebrmir\u00ebsohet shk\u00ebmbimi i njohurive midis p\u00ebrdoruesve t\u00eb depozitave dhe liqeneve t\u00eb t\u00eb dh\u00ebnave, duke b\u00ebr\u00eb projektet m\u00eb elastike dhe duke siguruar rezultate m\u00eb t\u00eb q\u00ebndrueshme n\u00eb afat t\u00eb gjat\u00eb.<\/p>\n<p>N\u00eb kompanit\u00eb q\u00eb kan\u00eb si q\u00ebllim zhvillimin e kultur\u00ebs s\u00eb pun\u00ebs me t\u00eb dh\u00ebna dhe nd\u00ebrtimin e proceseve t\u00eb biznesit mbi k\u00ebt\u00eb baz\u00eb, Data Scientist dhe Data Engineer plot\u00ebsojn\u00eb nj\u00ebri-tjetrin dhe krijojn\u00eb nj\u00eb sistem t\u00eb plot\u00eb t\u00eb analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave.\u00a0<\/p>\n<p>N\u00eb materialin e ardhsh\u00ebm, do t\u00eb flasim p\u00ebr arsimimin q\u00eb duhet t\u00eb ken\u00eb Data Engineer dhe Data Scientists, cilat aft\u00ebsi duhet t\u00eb zhvillojn\u00eb dhe si \u00ebsht\u00eb tregu.<\/p>\n<h2>Nga redaksia e Netologjis\u00eb<\/h2>\n<p>\nN\u00ebse po shqyrtoni profesionin e Data Engineer ose Data Scientist, ju ftojm\u00eb t\u00eb shqyrtoni programet tona t\u00eb kurseve:<\/p>\n<ul>\n<li>Profili \"<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=07042020_dataengscientist\">Data Engineer<\/a><\/noindex>\u00bb.\u00a0\u00a0<\/li>\n<li>Profili \"<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=07042020_dataengscientist\">Data Scientist<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/496082\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u0438 Data Scientist \u0438 Data Engineer \u0447\u0430\u0441\u0442\u043e \u043f\u0443\u0442\u0430\u044e\u0442. \u0423 \u043a\u0430\u0436\u0434\u043e\u0439 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0441\u0432\u043e\u044f \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u043a\u0430 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438, \u0440\u0430\u0437\u043d\u044b\u0435 \u0446\u0435\u043b\u0438 \u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438 \u0440\u0430\u0437\u043d\u043e\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435, \u043a\u0442\u043e \u0438\u0437 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u043a\u0430\u043a\u043e\u0439 \u0447\u0430\u0441\u0442\u044c\u044e \u0440\u0430\u0431\u043e\u0442\u044b \u0434\u043e\u043b\u0436\u0435\u043d \u0437\u0430\u043d\u0438\u043c\u0430\u0442\u044c\u0441\u044f, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0438 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f \u043a\u0430\u0436\u0434\u044b\u0439 \u043f\u0440\u0435\u0434\u044a\u044f\u0432\u043b\u044f\u0435\u0442 \u0441\u0432\u043e\u0438.\u00a0 \u0420\u0430\u0437\u0431\u0438\u0440\u0430\u0435\u043c\u0441\u044f, \u0432 \u0447\u0451\u043c \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u044d\u0442\u0438\u0445 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432, \u043a\u0430\u043a\u0438\u0435 \u0437\u0430\u0434\u0430\u0447\u0438 \u0431\u0438\u0437\u043d\u0435\u0441\u0430 \u043e\u043d\u0438 \u0440\u0435\u0448\u0430\u044e\u0442, \u043a\u0430\u043a\u0438\u043c\u0438 \u043d\u0430\u0432\u044b\u043a\u0430\u043c\u0438 \u043e\u0431\u043b\u0430\u0434\u0430\u044e\u0442 \u0438 \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u044e\u0442. \u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":77177,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-77176","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u0438 Data Scientist \u0438 Data Engineer \u0447\u0430\u0441\u0442\u043e \u043f\u0443\u0442\u0430\u044e\u0442.\" \/>\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\/sq\/blog\/administrirovanie\/data-engineer-i-data-scientist-kakaya-voobshhe-raznicza\" \/>\n\t<meta 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