{"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":"Andmeinsener ja Andmeanal\u00fc\u00fctik: mis vahe seal on?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Data Scientist ja Data Engineer'i ametid segi ajatakse sageli. Igal ettev\u00f5ttel on oma andmet\u00f6\u00f6tluse erip\u00e4ra, erinevad anal\u00fc\u00fcsieesm\u00e4rgid ja erinev arusaam, millised spetsialistid millist osa t\u00f6\u00f6st peaksid tegema, mist\u00f5ttu esitatakse ka erinevaid n\u00f5udmisi.\u00a0<\/p>\n<p>Vaatame, milles need spetsialistid erinevad, milliseid \u00e4ri\u00fclesandeid nad lahendavad, milliste oskustega nad valdavad ja kui palju nad teenivad. Materjal on ulatuslik, seet\u00f5ttu jagasime selle kaheks v\u00e4ljaandeks.<\/p>\n<p>Esimeses artiklis r\u00e4\u00e4gib Elena Gerasimova, \"<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\">Andeteaduse ja anal\u00fc\u00fctika<\/a><\/noindex>\" osakonna juht Netoloigis, milles seisneb erinevus Data Scientist'i ja Data Engineer'i vahel ning milliste t\u00f6\u00f6riistadega nad t\u00f6\u00f6tavad.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Kuidas erinevad inseneride ja teadlaste rollid<\/h2>\n<p>\nAndmeinsener on spetsialist, kes, \u00fchelt poolt, arendab, testib ja toetab andmet\u00f6\u00f6tluse infrastruktuuri: andmebaasid, ladustamislahendused ja massiliseks t\u00f6\u00f6tlemiseks m\u00f5eldud s\u00fcsteemid. Teiselt poolt on ta see, kes puhastab ja \u2018korrastab\u2019 andmeid anal\u00fc\u00fctikute ja andeteadlastena kasutamiseks, st loob andmete t\u00f6\u00f6tlemise konveiere.<\/p>\n<p>Data Scientist loob ja koolitab ennustavaid (ja mitte ainult) mudeleid masin\u00f5ppe ja neurov\u00f5rkude algoritmide abil, aidates ettev\u00f5ttel leida peidetud mustreid, prognoosida s\u00fcndmuste arengut ja optimeerida v\u00f5tme\u00e4ri protsesse.<\/p>\n<p>Peamine erinevus Data Scientist'i ja Data Engineer'i vahel seisneb selles, et tavaliselt on neil erinevad eesm\u00e4rgid. M\u00f5lemad t\u00f6\u00f6tavad selle nimel, et andmed oleksid kergesti k\u00e4ttesaadavad ja kvaliteetsed. Kuid Data Scientist otsib vastuseid oma k\u00fcsimustele ja kontrollib h\u00fcpoteese andme\u00f6kos\u00fcsteemis (n\u00e4iteks Hadoopi baasil), samas kui Data Engineer loob masin\u00f5ppe algoritmi teenindamiseks m\u00f5eldud andmevoo, mille on kirjutatud andeteadlane Spark'i klastris sama \u00f6kos\u00fcsteemi sees.\u00a0<\/p>\n<p>Andmeinsener toob ettev\u00f5ttele v\u00e4\u00e4rtust, t\u00f6\u00f6tades meeskonnas. Tema \u00fclesanne on olla oluline l\u00fcli erinevate osaliste vahel: arendajatest \u00e4riaruannete tarbijateni \u2014 ja t\u00f5sta anal\u00fc\u00fctikute tootlikkust \u2014 alates turundus- ja tooteanal\u00fc\u00fctikutest kuni BI-ni.\u00a0<\/p>\n<p>Data Scientist, vastupidi, osaleb aktiivselt ettev\u00f5tte strateegias ja uuringutes, otsuste tegemisel, automatiseerimisalgoritmide rakendamisel, modelleerimisel ja andmetest v\u00e4\u00e4rtuse genereerimisel.<br \/>\n<img decoding=\"async\" alt=\"Andmeinsener ja Andmeanal\u00fc\u00fctik: mis vahe seal on?\" src=\"\/wp-content\/uploads\/2020\/04\/1ce3e892eb7a354b106dc2f6398ec5e7.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nAndmete t\u00f6\u00f6tlemine j\u00e4rgib GIGO (garbage in \u2014 garbage out) p\u00f5him\u00f5tteid: kui anal\u00fc\u00fctikud ja andateadlased t\u00f6\u00f6tavad ettevalmistamata ja potentsiaalselt ebat\u00e4psete andmetega, siis isegi k\u00f5ige keerukamate anal\u00fc\u00fcsialgoritmide abil saadud tulemused on vale.\u00a0<\/p>\n<p>Andmeinsenerid lahendavad seda probleemi, ehitades andmete t\u00f6\u00f6tlemise, puhastamise ja transformeerimise torujuhtmeid, v\u00f5imaldades andateadlasel t\u00f6\u00f6tada kvaliteetsete andmetega.\u00a0<\/p>\n<p>Turul on palju andmeedastusvahendeid, mis katavad iga etapi: andmete ilmumisest kuni juhtkonna armatuurlaudade v\u00e4ljastamiseni. Oluline on, et nende kasutamise otsus teeks andmeinsener, \u2014 mitte seet\u00f5ttu, et see oleks moes, vaid seet\u00f5ttu, et see t\u00f5eliselt aitab teisi protsessi osalejaid.\u00a0<\/p>\n<p>\u00dchest k\u00fcljest: kui ettev\u00f5ttel on vaja BI-d ja ETL-i \u2014 andmete laadimist ja aruannete v\u00e4rskendamist, siis on see t\u00fc\u00fcpiline p\u00e4randp\u00f5hi, millega peab tegelema andmeinsener (hea, kui tema meeskonnas on ka arhitekt).<\/p>\n<p><b>Andmeinseneri kohustused<\/b><\/p>\n<ul>\n<li>Andmeprotsesside infrastruktuuri arendamine, \u00fclesehitamine ja hooldamine.<\/li>\n<li>Vigade t\u00f6\u00f6tlemine ja usaldusv\u00e4\u00e4rsete andmete t\u00f6\u00f6tlemise voogude loomine.<\/li>\n<li>Struktuurita andmete viimine erinevatest d\u00fcnaamilistest allikatest anal\u00fc\u00fctikutele vajalikku vormi.<\/li>\n<li>Soovituste andmine andmete j\u00e4rjepidevuse ja kvaliteedi parandamiseks.<\/li>\n<li>Andme- arsitekti toetamine ja haldamine, mida kasutavad andateadlased ja andmeanal\u00fc\u00fctikud.<\/li>\n<li>Andmete t\u00f6\u00f6tlemine ja salvestamine j\u00e4rjestikuliselt ja t\u00f5husalt hajutatud klastris k\u00fcmnete v\u00f5i sadade serveritega.<\/li>\n<li>T\u00f6\u00f6riistade tehniliste kompromisside hindamine, et luua lihtsaid, kuid usaldusv\u00e4\u00e4rseid arhitektuure, mis suudavad taluda rike.<\/li>\n<li>Andmevoogude ja sellega seotud s\u00fcsteemide j\u00e4lgimine ja toetamine (monitooringu ja h\u00e4irete seadistamine).<\/li>\n<\/ul>\n<p>\nAndmeinseneri teekonna sees on veel \u00fcks eriala \u2014 ML- insener. Lihtsalt \u00f6eldes spetsialiseeruvad need insenerid masin\u00f5ppemudelite viimisele t\u00f6\u00f6stuslikku rakendamisse ja kasutamisse. Sageli on mudel, mis tuli andateadlase k\u00e4est, osa uuringust ja ei pruugi tootmistingimustes h\u00e4sti t\u00f6\u00f6tada.<\/p>\n<p><b>Andmete teadlase kohustused<\/b><\/p>\n<ul>\n<li>Andmetest tunnuste eraldamine masin\u00f5ppe algoritmide rakendamiseks.<\/li>\n<li>Erinevate masin\u00f5ppe t\u00f6\u00f6riistade kasutamine andmete mustrite prognoosimiseks ja klassifitseerimiseks.<\/li>\n<li>Masin\u00f5ppe algoritmide j\u00f5udluse ja t\u00e4psuse suurendamine t\u00e4nu nende t\u00e4psustamisele ja optimeerimisele.<\/li>\n<li>Tugevate h\u00fcpoteeside loomine vastavalt ettev\u00f5tte strateegiale, mida on vaja testida.<\/li>\n<\/ul>\n<p><\/p>\n<blockquote><p>Data Engineer ja Data Scientist \u00fchendab m\u00e4rgatav panus andmet\u00f6\u00f6tluse kultuuri arengusse, mis v\u00f5imaldab ettev\u00f5ttel teenida lisatulu 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\u00e4na on andmet\u00f6\u00f6tlejate ootused muutunud. Varem koostasid insenerid suured SQL-p\u00e4ringud, kirjutasid k\u00e4sitsi MapReduce 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\u00f6tlusvahendite tundmiseta (n\u00e4iteks Airflow), samuti pilveplatvormidega t\u00f6\u00f6tamise p\u00f5him\u00f5tete m\u00f5istmiseta (kasutades neid riistvara kulude kokkuhoiuks, j\u00e4rgides samas turvaperioode).<\/p>\n<p>SAP, Oracle, MySQL, Redis on traditsioonilised andmeinseneri t\u00f6\u00f6riistad suurtes ettev\u00f5tetes. Need on head, kuid litsentside kulud on nii k\u00f5rged, et nendega t\u00f6\u00f6tamist on m\u00f5istlik \u00f5ppida ainult t\u00f6\u00f6stusprojektides. Samas on olemas tasuta alternatiiv PostgreSQL - see on tasuta ja sobib mitte ainult \u00f5ppimiseks.\u00a0<\/p>\n<p><img decoding=\"async\" alt=\"Andmeinsener ja Andmeanal\u00fc\u00fctik: mis vahe seal on?\" src=\"\/wp-content\/uploads\/2020\/04\/8a002b86ee3a18d5b232c5232a62dd3e.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nAjalooliselt on Java ja Scala p\u00e4ris sagedased n\u00f5udmised, kuigi tehnoloogia ja l\u00e4henemiste arenguga langevad need keeled tagaplaanile.<\/p>\n<p>Siiski ei ole hardcore BigData: Hadoop, Spark ja \u00fclej\u00e4\u00e4nud zooloogia enam andmeinseneri jaoks kohustuslikud, vaid pigem vahendid \u00fclesannete lahendamiseks, mida traditsioonilise ETL-iga ei suudeta lahendada.\u00a0<\/p>\n<blockquote><p>Trendiks on teenused t\u00f6\u00f6riistade kasutamiseks ilma nende kirjutamise keele tundmata (n\u00e4iteks Hadoop ilma Java tundmata), samuti valmis teenuste pakkumine vooluandmete t\u00f6\u00f6tlemiseks (h\u00e4\u00e4lte v\u00f5i videopiltide tuvastamine).<\/p><\/blockquote>\n<p>\nT\u00f6\u00f6stuslahendused SAS ja SPSS on populaarsed, samas on Tableau, Rapidminer, Stata ja Julia samuti laialdaselt kasutatavad andateadlaste seas kohalike \u00fclesannete jaoks.<\/p>\n<p><img decoding=\"async\" alt=\"Andmeinsener ja Andmeanal\u00fc\u00fctik: mis vahe seal on?\" src=\"\/wp-content\/uploads\/2020\/04\/cf18b6b4fe45d9286f2ec6d14418d28c.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\nAnal\u00fc\u00fctikutele ja andeteadlastele avanes v\u00f5imalus ise torujuhtmeid ehitada vaid paar aastat tagasi: n\u00e4iteks on n\u00fc\u00fcd v\u00f5imalik suhteliselt lihtsate skriptide abil suunata andmed PostgreSQL-p\u00f5hisesse salvestusse.\u00a0<\/p>\n<p>Tavaliselt j\u00e4\u00e4b konveierite ja integreeritud andmestruktuuride kasutamine andmeinseneride valdusesse. Kuid t\u00e4na on T-kujuliste spetsialistide trend, kellel on laiad oskused k\u00fclgvaldkondades, eriti tugev, kuna t\u00f6\u00f6riistad muutuvad pidevalt lihtsamaks.<\/p>\n<h2>Miks peaks Data Engineer ja Data Scientist koos t\u00f6\u00f6tama<\/h2>\n<p>\nKoost\u00f6\u00f6s inseneridega saavad andeteadlased keskenduda uurimist\u00f6\u00f6le, luues t\u00f6\u00f6korras masin\u00f5ppe algoritme.<br \/>\nJa insenerid saavad keskenduda skaleeritavusele, andmete taaskasutusele ning tagama, et iga eraldi projekti andmete sisendi ja v\u00e4ljundi torujuhtmed vastavad globaalsetele arhitektuurin\u00f5uetele. <\/p>\n<p>Selline rollide jaotus tagab tegevuste \u00fchtsuse erinevates masin\u00f5ppe projektides tegutsevate spetsialistide r\u00fchmades.\u00a0<\/p>\n<p>Koost\u00f6\u00f6 aitab t\u00f5husalt luua uusi tooteid. Kiirus ja kvaliteet saavutatakse t\u00e4nu tasakaalule k\u00f5igile teenuse loomise (globaalne salvestus v\u00f5i armatuurlaudade integreerimine) ja iga konkreetse vajaduse v\u00f5i projekti (kitsalt spetsialiseeritud torujuhe, v\u00e4liste allikate \u00fchendamine) rahuldamise vahel.\u00a0<\/p>\n<p>Tihe koost\u00f6\u00f6 andeteadlaste ja anal\u00fc\u00fctikutega aitab inseneridel arendada anal\u00fc\u00fctilisi ja uurimisoskusi, et kirjutada kvaliteetsemat koodi. Parandatakse teadmiste vahetust salvestuste ja andmej\u00e4rvede kasutajate vahel, mist\u00f5ttu projektid muutuvad paindlikumaks ning tagavad kauakestvamaid tulemusi.<\/p>\n<p>Ettev\u00f5tetes, mis seavad eesm\u00e4rgiks andmetega t\u00f6\u00f6tamise kultuuri arendamise ja \u00e4riprotsesside \u00fclesehitamise nende alusel, t\u00e4iendavad Data Scientist ja Data Engineer \u00fcksteist, luues tervikliku andmeanal\u00fc\u00fcsi s\u00fcsteemi.\u00a0<\/p>\n<p>J\u00e4rgmises materjalis r\u00e4\u00e4gime sellest, milline haridus peaks olema Data Engineer'il ja Data Scientist'il, milliseid oskusi nad peaksid arendama ja kuidas turg on korraldatud.<\/p>\n<h2>Toimetusest Netology<\/h2>\n<p>\nKui kaalute Data Engineer'i v\u00f5i Data Scientist'i ametit, kutsume teid tutvuma meie kursuste programmidega:<\/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\">Andeteadlane<\/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 \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 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