{"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":"Inxhinier i t\u00eb Dh\u00ebnave dhe Shkenc\u00ebtar t\u00eb Dh\u00ebnave: \u00e7far\u00eb dallimi ka n\u00eb fakt?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Profesionet Data Scientist dhe Data Engineer shpesh ngat\u00ebrrohen. \u00c7do kompani ka specifik\u00ebn e saj n\u00eb pun\u00ebn me t\u00eb dh\u00ebnat, q\u00ebllime t\u00eb ndryshme t\u00eb analiz\u00ebs dhe nj\u00eb p\u00ebrfaq\u00ebsim t\u00eb ndrysh\u00ebm se cili specialist duhet t\u00eb merret me \u00e7far\u00eb pune, prandaj, k\u00ebrkesat q\u00eb \u00e7do kompani ka jan\u00eb t\u00eb ndryshme.\u00a0<\/p>\n<p>T\u00eb kuptojm\u00eb se \u00e7far\u00eb e ndan k\u00ebta specialist\u00eb, \u00e7far\u00eb probleme biznesi ata zgjidhin, \u00e7far\u00eb aft\u00ebsish kan\u00eb dhe sa fitojn\u00eb. Materiali doli t\u00eb jet\u00eb i gjer\u00eb, prandaj e ndam\u00eb n\u00eb dy publikime.<\/p>\n<p>N\u00eb artikullin e par\u00eb, Elena Gerasimova, drejtore 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 analiza<\/a><\/noindex>\" n\u00eb Netology, flet p\u00ebr ndryshimin nd\u00ebrmjet Data Scientist dhe Data Engineer dhe me cilat mjete ata punojn\u00eb.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Si dallohen rolet e inxhinier\u00ebve dhe scientist\u00ebve<\/h2>\n<p>\nInxhinieri i t\u00eb dh\u00ebnave \u00ebsht\u00eb specialisti q\u00eb, nga nj\u00ebra an\u00eb, zhvillon, teston dhe mir\u00ebmban infrastruktur\u00ebn e pun\u00ebs me t\u00eb dh\u00ebna: bazat e t\u00eb dh\u00ebnave, depozitimin dhe sistemet e p\u00ebrpunimit masiv. Nga ana tjet\u00ebr, ai \u00ebsht\u00eb ai q\u00eb pastron dhe \"p\u00ebrpunon\" t\u00eb dh\u00ebnat p\u00ebr t'i p\u00ebrdorur nga analist\u00ebt dhe data scientist\u00ebt, q\u00eb do t\u00eb thot\u00eb se krijon linjat e p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave.<\/p>\n<p>Data Scientist krijon dhe trajnon modele parashikuese (dhe jo vet\u00ebm) p\u00ebrmes algoritmeve t\u00eb m\u00ebsimit t\u00eb makineris\u00eb dhe rrjeteve nervore, duke ndihmuar biznesin t\u00eb zbuloj\u00eb shtigje t\u00eb fshehura, t\u00eb parashikoj\u00eb zhvillimin e ngjarjeve dhe t\u00eb optimizoj\u00eb proceset kryesore t\u00eb biznesit.<\/p>\n<p>Kthesa kryesore nd\u00ebrmjet Data Scientist dhe Data Engineer q\u00ebndron n\u00eb faktin se zakonisht ata kan\u00eb q\u00ebllime 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 disponueshme dhe t\u00eb cil\u00ebsis\u00eb s\u00eb lart\u00eb. Por Data Scientist gjen p\u00ebrgjigje p\u00ebr pyetjet e tij dhe verifikon hipotezat n\u00eb ekosistemin e t\u00eb dh\u00ebnave (p\u00ebr shembull, mbi baz\u00ebn Hadoop), nd\u00ebrsa Data Engineer krijon pipeline p\u00ebr mb\u00ebshtetje t\u00eb algoritmit t\u00eb m\u00ebsimit t\u00eb makineris\u00eb, i shkruar nga data scientist-i, n\u00eb klas\u00ebn Spark brenda t\u00eb nj\u00ebjtit ekosistem.\u00a0<\/p>\n<p>Inxhinieri i t\u00eb dh\u00ebnave sjell vler\u00eb p\u00ebr biznesin p\u00ebrmes pun\u00ebs n\u00eb ekip. Detyra e tij \u00ebsht\u00eb t\u00eb luaj\u00eb nj\u00eb rol ky\u00e7 midis pjes\u00ebmarr\u00ebsve t\u00eb ndrysh\u00ebm: nga zhvilluesit deri tek p\u00ebrdoruesit biznesor\u00eb t\u00eb raporteve, dhe t\u00eb rris\u00eb produktivitetin e analist\u00ebve - nga ata t\u00eb marketingut dhe produkteve deri te BI.\u00a0<\/p>\n<p>Data Scientist, nga ana tjet\u00ebr, merr nj\u00eb pjes\u00ebmarrje aktive n\u00eb strategjin\u00eb e kompanis\u00eb dhe nxjerrjen e insight-eve, 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=\"Inxhinier i t\u00eb Dh\u00ebnave dhe Shkenc\u00ebtar t\u00eb Dh\u00ebnave: \u00e7far\u00eb dallimi ka n\u00eb fakt?\" src=\"\/wp-content\/uploads\/2020\/04\/1ce3e892eb7a354b106dc2f6398ec5e7.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPuna me t\u00eb dh\u00ebnat i n\u00ebnshtrohet parimit GIGO (garbage in \u2014 garbage out): n\u00ebse analist\u00ebt dhe shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave punojn\u00eb me t\u00eb dh\u00ebna t\u00eb pap\u00ebrgatitura dhe potencialisht t\u00eb gabuara, rezultatet, edhe me algoritmet m\u00eb t\u00eb avancuar t\u00eb analiz\u00ebs, do t\u00eb jen\u00eb t\u00eb gabuara.\u00a0<\/p>\n<p>Inxhinier\u00ebt e t\u00eb dh\u00ebnave e zgjidhin k\u00ebt\u00eb problem duke nd\u00ebrtuar pipeline p\u00ebr p\u00ebrpunimin, pastrimin dhe transformimin e t\u00eb dh\u00ebnave, duke i lejuar shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave t\u00eb punojn\u00eb me t\u00eb dh\u00ebna t\u00eb cil\u00ebsis\u00eb m\u00eb t\u00eb lart\u00eb.\u00a0<\/p>\n<p>N\u00eb treg ka shum\u00eb mjete p\u00ebr pun\u00ebn me t\u00eb dh\u00ebnat, t\u00eb cilat mbulojn\u00eb \u00e7do faz\u00eb: nga shfaqja e t\u00eb dh\u00ebnave deri te paraqitja n\u00eb dashboard p\u00ebr bordin drejtues. E r\u00ebnd\u00ebsishme \u00ebsht\u00eb 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 v\u00ebrtet do t\u00eb ndihmoj\u00eb n\u00eb pun\u00ebn e pjes\u00ebmarr\u00ebsve t\u00eb tjer\u00eb n\u00eb proces.\u00a0<\/p>\n<p>Kushtimisht: n\u00ebse kompanis\u00eb i duhet t\u00eb lidh\u00eb BI dhe ETL \u2014 ngarkimin e t\u00eb dh\u00ebnave dhe p\u00ebrdit\u00ebsimin e raport\u00ebve, ja nj\u00eb themel tipik legacy me t\u00eb cilin do t\u00eb duhet t\u00eb merret Data Engineer (mir\u00eb \u00ebsht\u00eb n\u00ebse n\u00eb ekip ka gjithashtu dhe 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>P\u00ebrpunimi i gabimeve dhe krijimi i konvejereve t\u00eb besuesh\u00ebm p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave.<\/li>\n<li>Transformimi i t\u00eb dh\u00ebnave t\u00eb pa strukturuara nga burime dinamike t\u00eb ndryshme n\u00eb formatin e nevojsh\u00ebm p\u00ebr analist\u00ebt.<\/li>\n<li>Sigurimi i rekomandimeve p\u00ebr p\u00ebrmir\u00ebsimin e konsistenc\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 q\u00eb p\u00ebrdorin shkenc\u00ebtar\u00ebt e t\u00eb dh\u00ebnave dhe analist\u00ebt.<\/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 klaster t\u00eb shp\u00ebrndar\u00eb me dhjet\u00ebra ose qindra server\u00eb.<\/li>\n<li>Vler\u00ebsimi i kompromiseve teknike t\u00eb mjeteve p\u00ebr krijimin e arkitekturave t\u00eb thjeshta, por t\u00eb besueshme, q\u00eb mund t\u00eb mbijetojn\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>\nEkziston nj\u00eb specializim tjet\u00ebr brenda rrug\u00ebs s\u00eb Data Engineer \u2014 ML engineer. 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 implementim dhe p\u00ebrdorim industrial. Shpesh modeli, i marr\u00eb nga shkenc\u00ebtari i t\u00eb dh\u00ebnave, \u00ebsht\u00eb pjes\u00eb e nj\u00eb k\u00ebrkimi dhe mund t\u00eb mos funksionoj\u00eb n\u00eb kushte t\u00eb fushat\u00ebs.<\/p>\n<p><b>Detyrat e Data Scientist<\/b><\/p>\n<ul>\n<li>Ekstraktimi i karakteristikave nga t\u00eb dh\u00ebnat p\u00ebr aplikimin e algoritmeve t\u00eb m\u00ebsimit t\u00eb makineris\u00eb.<\/li>\n<li>P\u00ebrdorimi i mjeteve t\u00eb ndryshme t\u00eb m\u00ebsimit t\u00eb makin\u00ebs p\u00ebr parashikimin dhe klasifikimin e modeleve n\u00eb t\u00eb dh\u00ebna.<\/li>\n<li>Rritja e produktivitetit dhe sakt\u00ebsis\u00eb s\u00eb algoritmeve t\u00eb m\u00ebsimit t\u00eb makin\u00ebs p\u00ebrmes optimizimit dhe konfigurimit t\u00eb holl\u00ebsish\u00ebm t\u00eb algoritmeve.<\/li>\n<li>Formimi i hipotezave \"t\u00eb forta\" n\u00eb p\u00ebrputhje me strategjin\u00eb e kompanis\u00eb q\u00eb duhen testuar.<\/li>\n<\/ul>\n<p><\/p>\n<blockquote><p>Si Inxhinier\u00ebt e T\u00eb Dh\u00ebnave, ashtu edhe Shkenc\u00ebtar\u00ebt e T\u00eb Dh\u00ebnave kontribuojn\u00eb n\u00eb zhvillimin e nj\u00eb kulture t\u00eb pun\u00ebs me t\u00eb dh\u00ebna, e cila ndihmon kompanin\u00eb t\u00eb rris\u00eb fitimet ose t\u00eb ul\u00eb shpenzimet.<\/p><\/blockquote>\n<p><\/p>\n<h2>Me cilat gjuh\u00eb dhe mjete punojn\u00eb inxhinier\u00ebt dhe shkenc\u00ebtar\u00ebt?<\/h2>\n<p>\nSot, pritshm\u00ebrit\u00eb ndaj specialist\u00ebve t\u00eb p\u00ebrpunimit t\u00eb t\u00eb dh\u00ebnave kan\u00eb ndryshuar. Disa vite m\u00eb par\u00eb, inxhinier\u00ebt krijonin k\u00ebrkesat e m\u00ebdha SQL, shkruanin manualisht MapReduce dhe p\u00ebrpunonin t\u00eb dh\u00ebna me mjete si Informatica ETL, Pentaho ETL, Talend.\u00a0<\/p>\n<p>N\u00eb 2020, nj\u00eb specialist nuk mund t\u00eb kaloj\u00eb pa njohuri t\u00eb Python dhe mjeteve moderne t\u00eb llogaritjes (p.sh. Airflow), si dhe nj\u00eb kuptim t\u00eb parimeve t\u00eb pun\u00ebs me platforma cloud (duke i p\u00ebrdorur p\u00ebr t\u00eb kursyer n\u00eb \"harduer\", me respektimin e parimeve t\u00eb siguris\u00eb).<\/p>\n<p>SAP, Oracle, MySQL, Redis jan\u00eb mjete tradicionale p\u00ebr inxhinier\u00ebt e t\u00eb dh\u00ebnave n\u00eb kompanit\u00eb e m\u00ebdha. Jan\u00eb t\u00eb mira, por kostoja e licencave \u00ebsht\u00eb kaq e lart\u00eb sa arsyeton t\u00eb m\u00ebsosh t\u00eb punosh me to vet\u00ebm n\u00eb projekte industriale. Megjithat\u00eb, ka nj\u00eb alternativ\u00eb falas si Postgres \u2014 \u00ebsht\u00eb falas dhe i p\u00ebrshtatsh\u00ebm jo vet\u00ebm p\u00ebr m\u00ebsim.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Inxhinier i t\u00eb Dh\u00ebnave dhe Shkenc\u00ebtar t\u00eb Dh\u00ebnave: \u00e7far\u00eb dallimi ka n\u00eb fakt?\" src=\"\/wp-content\/uploads\/2020\/04\/8a002b86ee3a18d5b232c5232a62dd3e.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nHistorikisht, \u00ebsht\u00eb shpesh k\u00ebrkuar Java dhe Scala, 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, BigData t\u00eb forta: Hadoop, Spark dhe gjith\u00eb kafsh\u00ebt e tjera \u2014 nuk jan\u00eb m\u00eb nj\u00eb k\u00ebrkes\u00eb e domosdoshme p\u00ebr inxhinier\u00ebt e t\u00eb dh\u00ebnave, por nj\u00eb lloj mjeti p\u00ebr zgjidhjen e problemeve q\u00eb nuk mund t\u00eb zgjidhen me ETL tradicional.\u00a0<\/p>\n<blockquote><p>N\u00eb trend jan\u00eb sh\u00ebrbimet p\u00ebr p\u00ebrdorimin e mjeteve pa pasur nevoj\u00eb t\u00eb dish gjuh\u00ebn n\u00eb t\u00eb cil\u00ebn jan\u00eb shkruar (p.sh. Hadoop pa ditur Java), si dhe ofrimi i sh\u00ebrbimeve gati p\u00ebr p\u00ebrpunimin e t\u00eb dh\u00ebnave n\u00eb flux (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 detyra lokale.<\/p>\n<p><img decoding=\"async\" alt=\"Inxhinier i t\u00eb Dh\u00ebnave dhe Shkenc\u00ebtar t\u00eb Dh\u00ebnave: \u00e7far\u00eb dallimi ka n\u00eb fakt?\" 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-t iu dha analist\u00ebve dhe data scientist-\u00ebve vet\u00ebm disa vjet m\u00eb par\u00eb: p\u00ebr shembull, tani \u00ebsht\u00eb e mundur t\u00eb drejtohen t\u00eb dh\u00ebnat n\u00eb nj\u00eb ruajtje t\u00eb bazuar n\u00eb PostgreSQL me skenar\u00eb relativisht t\u00eb thjesht\u00eb.\u00a0<\/p>\n<p>Zakonisht, p\u00ebrdorimi i konvejereve dhe strukturave t\u00eb integruara t\u00eb t\u00eb dh\u00ebnave mbetet n\u00eb duar t\u00eb inxhinier\u00ebve t\u00eb t\u00eb dh\u00ebnave. Por sot, si kurr\u00eb m\u00eb par\u00eb, trendi p\u00ebr specialist\u00ebt T-sh q\u00eb kan\u00eb kompetenca t\u00eb gjer\u00eb n\u00eb fusha t\u00eb lidhura \u00ebsht\u00eb shum\u00eb i fort\u00eb, pasi mjetet vazhdimisht po thjeshtohen.<\/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 at\u00ebher\u00eb mund t\u00eb p\u00ebrqendrohen n\u00eb pjes\u00ebn k\u00ebrkimore, duke krijuar algorithma t\u00eb gatsh\u00ebm p\u00ebr t\u00eb punuar p\u00ebr m\u00ebsimin e makineris\u00eb.<br \/>\nNd\u00ebrsa inxhinier\u00ebt p\u00ebrqendrohen n\u00eb shkallueshm\u00ebri, rip\u00ebrdorimin e t\u00eb dh\u00ebnave dhe garantojn\u00eb q\u00eb pipeline-t e hyrjes dhe daljes n\u00eb \u00e7do projekt specifik p\u00ebrputhen me arkitektur\u00ebn globale. <\/p>\n<p>Kjo ndarje e detyrave siguron koherenc\u00ebn e veprimeve mes grupeve t\u00eb specialist\u00ebve q\u00eb punojn\u00eb n\u00eb projekte t\u00eb ndryshme t\u00eb m\u00ebsimit t\u00eb makineris\u00eb.\u00a0<\/p>\n<p>Bashk\u00ebpunimi ndihmon n\u00eb krijimin efikas t\u00eb produkteve t\u00eb reja. Shpejt\u00ebsia dhe cil\u00ebsia arrihen fal\u00eb balanc\u00ebs midis krijimit t\u00eb nj\u00eb sh\u00ebrbimi p\u00ebr t\u00eb gjith\u00eb (ruajtja globale ose integrimi i tabelave t\u00eb kontrollit) dhe realizimit t\u00eb \u00e7do nevoje ose projekti t\u00eb ve\u00e7ant\u00eb (pipeline i ngushtuar, lidhja e burimeve t\u00eb jashtme).\u00a0<\/p>\n<p>Puna e ngusht\u00eb me data scientist-et dhe analist\u00ebt ndihmon inxhinier\u00ebt t\u00eb zhvillojn\u00eb aft\u00ebsi analitike dhe k\u00ebrkimore p\u00ebr t\u00eb shkruar kod m\u00eb cil\u00ebsor. K\u00ebshtu p\u00ebrmir\u00ebsohet shk\u00ebmbimi i njohurive midis p\u00ebrdoruesve t\u00eb ruajtjeve dhe liqeneve t\u00eb t\u00eb dh\u00ebnave, duke b\u00ebr\u00eb projektet m\u00eb fleksib\u00ebl dhe duke siguruar rezultate m\u00eb t\u00eb q\u00ebndrueshme afatgjata.<\/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 at\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 Scientist, 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-it ose Data Scientist-it, ju ftojm\u00eb t\u00eb eksploroni programet e kurseve tona:<\/p>\n<ul>\n<li>Profesion i \u00ab<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>Profesion i \u00ab<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 5.0.2 - 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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