{"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\/et\/blog\/administrirovanie\/data-engineer-i-data-scientist-kakaya-voobshhe-raznicza","title":{"rendered":"Andmespetsialist ja andmeinsener: mis vahe neil on?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Andmeinseneri ja andmespetsialisti ametid segatakse sageli. Igal ettev\u00f5ttel on oma viis andmetega t\u00f6\u00f6tamiseks, erinevad anal\u00fc\u00fcsieesm\u00e4rgid ja arusaam, kes millise t\u00f6\u00f6osa peab tegema, seet\u00f5ttu on n\u00f5udmised iga\u00fchel erinevad.\u00a0<\/p>\n<p>Selgitame v\u00e4lja nende spetsialistide vahe, milliseid \u00e4risihtm\u00e4rke nad lahendavad, milliseid oskusi nad omavad ja kui palju nad teenivad. Materjal on ulatuslik, seega oleme jaganud selle kaheks v\u00e4ljaandeks.<\/p>\n<p>Esimeses artiklis r\u00e4\u00e4gib Elena Gerasimova, \u00ab<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\">Andmete teadus ja anal\u00fc\u00fcs<\/a><\/noindex>\u00bb Netoloogia osakonna juht, milles seisneb vahe andmespetsialisti ja andmeinseneri vahel ning milliseid t\u00f6\u00f6riistu nad kasutavad.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Kuidas erinevad inseneride ja teadlaste rollid<\/h2>\n<p>\nAndmeinsener on spetsialist, kes arendab, testib ja toetab andmetega seotud infrastruktuuri: andmebaasid, andmesalvestuskeskkonnad ja massiivse t\u00f6\u00f6tlemise s\u00fcsteemid. Teiselt poolt on ta see, kes puhastab ja \u201cviimistleb\u201d andmeid, et anal\u00fc\u00fctikud ja andmespetsialistid saaksid neid kasutada, see t\u00e4hendab, et ta loob andmet\u00f6\u00f6tluse voolusid.<\/p>\n<p>Andmescientist loob ja \u00f5petab ennustavaid (ja mitte ainult) mudeleid masin\u00f5ppe ja n\u00e4rviv\u00f5rkude algoritmide abil, aidates ettev\u00f5tetel leida varjatud mustreid, prognoosida s\u00fcndmuste arengut ja optimeerida v\u00f5tme\u00e4ri protsesse.<\/p>\n<p>Peamine erinevus andmescientisti ja andmeinseneri vahel on see, et nende eesm\u00e4rgid on tavaliselt erinevad. M\u00f5lemad t\u00f6\u00f6tavad selle nimel, et andmed oleksid kergesti k\u00e4ttesaadavad ja kvaliteetsed. Kuid andmescientist otsib vastuseid oma k\u00fcsimustele ja testib h\u00fcpoteese andmestiku \u00f6kos\u00fcsteemis (nt Hadoopi baasil), samas kui andmeinsener loob andmevoo, et teenindada masin\u00f5ppe algoritmi, mille on kirjutanud andmescientist, Spark klastris sama \u00f6kos\u00fcsteemi sees.\u00a0<\/p>\n<p>Andmeinsener toob ettev\u00f5ttele v\u00e4\u00e4rtust, t\u00f6\u00f6tades meeskonnas. Tema \u00fclesanne on olla t\u00e4htis l\u00fcli erinevate osaliste vahel: arendajatest kuni \u00e4riaruannete tarbijateni \u2014 ning suurendada anal\u00fc\u00fctikute efektiivsust \u2014 alates turundus- ja tooteanal\u00fc\u00fctikutest kuni BI-ni.\u00a0<\/p>\n<p>Andme teadlane osaleb aktiivselt ettev\u00f5tte strateegias, teadmiste v\u00e4ljat\u00f6\u00f6tamises, otsuste tegemises, automaatika algoritmide rakendamises ning andmetest v\u00e4\u00e4rtuse genereerimises.<br \/>\n<img decoding=\"async\" alt=\"Andmespetsialist ja andmeinsener: mis vahe neil on?\" src=\"\/wp-content\/uploads\/2020\/04\/1ce3e892eb7a354b106dc2f6398ec5e7.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nAndmetega t\u00f6\u00f6tamine j\u00e4rgib GIGO (garbage in \u2014 garbage out) p\u00f5him\u00f5tet: kui anal\u00fc\u00fctikud ja andme teadlased tegelevad ettevalmistamata ja potentsiaalselt vigaste andmetega, siis isegi k\u00f5ige keerukamate anal\u00fc\u00fcsialgoritmide korral on tulemused valed.\u00a0<\/p>\n<p>Andmeinsenerid lahendavad selle probleemi, ehitades andmete t\u00f6\u00f6tlemise, puhastamise ja transformeerimise voogusid, v\u00f5imaldades andme teadlasel t\u00f6\u00f6tada kvaliteetsete andmetega.\u00a0<\/p>\n<p>Turul on palju t\u00f6\u00f6riistu andmetega t\u00f6\u00f6tamiseks, mis katavad iga etapi: andmete tekkimisest kuni andmete esitlemiseni juhatuse seadistusele. Oluline on, et nende kasutamise otsus teeks insener, \u2014 mitte sellep\u00e4rast, et see on moes, vaid sellep\u00e4rast, et see t\u00f5eliselt aitab teistel osalistel protsessis.\u00a0<\/p>\n<p>Tingimisi: kui ettev\u00f5ttel on vaja BI ja ETL-i \u2014 andmete laadimist ja aruannete v\u00e4rskendusi, on see t\u00fc\u00fcpiline p\u00e4rand aluseks, millega andmeinsener peab tegelema (hea, kui tiimis on ka arhitekt).<\/p>\n<p><b>Andmeinseneri kohustused<\/b><\/p>\n<ul>\n<li>Andmete haldamiseks vajaliku infrastruktuuri arendamine, ehitamine ja hooldamine.<\/li>\n<li>Vigade t\u00f6\u00f6tlemine ja usaldusv\u00e4\u00e4rsete andmet\u00f6\u00f6tluskanalite loomine.<\/li>\n<li>Struktureerimata andmete viimine erinevatest d\u00fcnaamilistest allikatest anal\u00fc\u00fctikute t\u00f6\u00f6ks vajalikku vormi.<\/li>\n<li>Soovituste andmine andmete j\u00e4rjepidevuse ja kvaliteedi parandamiseks.<\/li>\n<li>Andmearhitektuuri tagamine ja toetamine, mida kasutavad andeteadlased ja andmeanal\u00fc\u00fctikud.<\/li>\n<li>Andmete t\u00f6\u00f6tlemine ja salvestamine j\u00e4rjestikuses ja efektiivses jaotatud klastris, kus on k\u00fcmneid v\u00f5i sadu servereid.<\/li>\n<li>Tehniliste kompromisside hindamine t\u00f6\u00f6riistade jaoks, et luua lihtsaid, kuid usaldusv\u00e4\u00e4rseid arhitektuure, mis taluvad rikkeid.<\/li>\n<li>Andmevoogude ja seotud s\u00fcsteemide j\u00e4lgimise ja toetamise tagamine (monitooringu ja h\u00e4irete seadistamine).<\/li>\n<\/ul>\n<p>\nData Engineer'i spektra sees on veel \u00fcheks valdkonnaks ML insener, kes keskendub masin\u00f5ppe mudelite viimisele rakendustesse ja kasutusse. Tihti on mudel, mis on saadud andmete teadlase poolt, osa uuringust ning v\u00f5ib tegelikes tingimustes mitte toimida.<\/p>\n<p><b>Data Scientisti kohustused<\/b><\/p>\n<ul>\n<li>Andmetest tunnuste v\u00e4ljav\u00f5tmine masin\u00f5ppe algoritmide rakendamiseks.<\/li>\n<li>Erinevate masin\u00f5ppe t\u00f6\u00f6riistade kasutamine mustrite prognoosimiseks ja klassifitseerimiseks andmetes.<\/li>\n<li>Masin\u00f5ppe algoritmide j\u00f5udluse ja t\u00e4psuse suurendamine t\u00e4iendava h\u00e4\u00e4lestuse ja optimeerimise kaudu.<\/li>\n<li>Tugevate h\u00fcpoteeside vormimine, mis vastavad ettev\u00f5tte strateegiale ja n\u00f5uavad katsetamist.<\/li>\n<\/ul>\n<p><\/p>\n<blockquote><p>N nii Data Engineer kui ka Data Scientist panustavad olulisel m\u00e4\u00e4ral andmekultuuri arendamisse, mis aitab ettev\u00f5ttel teenida lisatulud v\u00f5i v\u00e4hendada kulusid.<\/p><\/blockquote>\n<p><\/p>\n<h2>Milliste keelte ja t\u00f6\u00f6riistadega t\u00f6\u00f6tavad insenerid ja teadlased?<\/h2>\n<p>\nT\u00e4nap\u00e4eval on andmet\u00f6\u00f6tluse spetsialistide ootused muutunud. Varem koostasid insenerid suured SQL-p\u00e4ringud, kirjutasid k\u00e4sitsi MapReduce'i ja t\u00f6\u00f6tlesid andmeid selliste t\u00f6\u00f6riistadega nagu Informatica ETL, Pentaho ETL, Talend.\u00a0<\/p>\n<p>2020. aastal ei saa spetsialist hakkama ilma Python'i ja kaasaegsete arvutust\u00f6\u00f6riistade (nt Airflow) tundmiseta ning pilveplatvormide t\u00f6\u00f6p\u00f5him\u00f5tteid m\u00f5istmata, et kasutada neid \u201eraha s\u00e4\u00e4stmiseks\u201d koos turvap\u00f5him\u00f5tete j\u00e4rgimisega.<\/p>\n<p>SAP, Oracle, MySQL, Redis - need on suurte ettev\u00f5tete andmeinseneri traditsioonilised t\u00f6\u00f6riistad. Need on head, kuid litsentside maksumus on nii k\u00f5rge, et nende kasutamiseks on m\u00f5tet \u00f5ppida vaid t\u00f6\u00f6stusprojektides. Sellegipoolest on olemas tasuta alternatiiv Postgres'i n\u00e4ol - see on tasuta ja sobib mitte ainult \u00f5ppimiseks.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Andmespetsialist ja andmeinsener: mis vahe neil on?\" src=\"\/wp-content\/uploads\/2020\/04\/8a002b86ee3a18d5b232c5232a62dd3e.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nAjalooliselt on sageli olnud n\u00f5udlus Java ja Scala j\u00e4rele, kuigi tehnoloogiate ja l\u00e4henemiste arenguga on need keeled tagaplaanile j\u00e4\u00e4mas.<\/p>\n<p>Kuid hardcore BigData, nagu Hadoop, Spark ja \u00fclej\u00e4\u00e4nud t\u00f6\u00f6riistade kogum, ei ole enam andmeinseneri jaoks kohustuslik; need on vaid t\u00f6\u00f6riistad probleemide lahendamiseks, mida traditsiooniline ETL ei suuda lahendada.\u00a0<\/p>\n<blockquote><p>Tendentsiks on teenused, mis v\u00f5imaldavad t\u00f6\u00f6riistade kasutamist ilma nende loomise keele tundmiseta (n\u00e4iteks Hadoop Java teadmata), samuti valmis teenuste pakkumine voogandmete t\u00f6\u00f6tlemiseks (n\u00e4iteks h\u00e4\u00e4letuvastamine v\u00f5i pildituvastus videos).<\/p><\/blockquote>\n<p>\nT\u00f6\u00f6stuslikud lahendused nagu SAS ja SPSS on populaarsed, samas kui Tableau, Rapidminer, Stata ja Julia on samuti laialdaselt kasutatavad andmeanal\u00fc\u00fctikute jaoks kohalike \u00fclesannete t\u00e4itmiseks.<\/p>\n<p><img decoding=\"async\" alt=\"Andmespetsialist ja andmeinsener: mis vahe neil on?\" src=\"\/wp-content\/uploads\/2020\/04\/cf18b6b4fe45d9286f2ec6d14418d28c.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nAnal\u00fc\u00fctikutel ja andmeanal\u00fc\u00fctikatel on olnud v\u00f5imalus ise andmevahelaid luua vaid paar aastat: n\u00e4iteks saab lihtsate skriptide abil suunata andmeid PostgreSQL-i p\u00f5hisesse salvestusse.\u00a0<\/p>\n<p>Tavaliselt j\u00e4\u00e4b konveierite ja integreeritud andmestruktuuride kasutamine andmeinseneride valdkonda. Kuid t\u00e4na on T-kujuliste spetsialistide \u2013 laiaulatuslike oskustega inimeste, kes valdavad erinevaid valdkondi \u2013 trend aktiivsem kui kunagi varem, kuna t\u00f6\u00f6riistad muutuvad pidevalt lihtsamaks.<\/p>\n<h2>Miks peaks andmeinsener ja andmeanal\u00fc\u00fctik koost\u00f6\u00f6d tegema?<\/h2>\n<p>\nTiheas koost\u00f6\u00f6s inseneridega saavad andmete teadlased keskenduda uurimist\u00f6\u00f6le, arendades t\u00f6\u00f6ks valmis masin\u00f5ppe algoritme.<br \/>\nInsenerid seevastu saavad keskenduda skaleeritavusele, andmete taaskasutusele ning tagada, et andmete sissetuleku ja v\u00e4ljamineku torud igas projektis vastavad globaalsele arhitektuurile. <\/p>\n<p>Selline t\u00f6\u00f6jaotus tagab j\u00e4rjekindluse eri spetsialistide vahel, kes t\u00f6\u00f6tavad erinevate masin\u00f5ppe projektide kallal.\u00a0<\/p>\n<p>Koost\u00f6\u00f6 v\u00f5imaldab t\u00f5husalt luua uusi tooteid. Kiirus ja kvaliteet saavutatakse tasakaalu kaudu teenuse loomise ja iga konkreetse vajaduse v\u00f5i projekti (kitsas spetsialiseerunud toru, v\u00e4listest allikatest \u00fchendamine) rakendamise vahel.\u00a0<\/p>\n<p>Tihe koost\u00f6\u00f6 andmete teadlaste ja anal\u00fc\u00fctikatega aitab inseneridel arendada anal\u00fc\u00fctilisi ja uurimisoskusi, et kirjutada kvaliteetsemat koodi. See parandab teadmiste vahetust andmehoidlate ja andmej\u00e4rvede kasutajate vahel, muutes projektid paindlikumaks ja tagades j\u00e4tkusuutlikumad pikaajalised tulemused.<\/p>\n<p>Ettev\u00f5tetes, kus p\u00fc\u00fctakse arendada andmet\u00f6\u00f6tluskultuuri ja luua \u00e4riprotsesse selle alusel, t\u00e4iendavad andmete teadlane ja andmeinsener \u00fcksteist ning loovad tervikliku andmeanal\u00fc\u00fcsi s\u00fcsteemi.\u00a0<\/p>\n<p>J\u00e4rgmisel materjalis r\u00e4\u00e4gime, milline haridus peaks olema andmeinseneril ja andmete teadlastel, milliseid oskusi nad peaksid arendama ja kuidas turg v\u00e4lja n\u00e4eb.<\/p>\n<h2>Toimetus Netoloogiast<\/h2>\n<p>\nKui olete huvitatud andmeinseneri v\u00f5i andmete teadlase ametist, kutsume teid uurima meie kursuste programme:<\/p>\n<ul>\n<li>Amet \"<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\">Andmeinsener<\/a><\/noindex>\u00bb.\u00a0\u00a0<\/li>\n<li>Amet \"<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\">Andmete teadlane<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Allikas: <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 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