{"id":39275,"date":"2019-10-31T22:29:10","date_gmt":"2019-10-31T19:29:10","guid":{"rendered":"https:\/\/prohoster.info\/blog\/plan-prokachki-dlya-polucheniya-professii-data-engineer\/"},"modified":"2019-10-31T22:29:10","modified_gmt":"2019-10-31T19:29:10","slug":"plan-prokachki-dlya-polucheniya-professii-data-engineer","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/administrirovanie\/plan-prokachki-dlya-polucheniya-professii-data-engineer","title":{"rendered":"Na\u010drt za pridobitev poklica podatkovnega in\u017eenirja","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Zadnjih osem let delam kot vodja projektov (ne programiram na delovnem mestu), kar negativno vpliva na moje tehnolo\u0161ko znanje. Odlo\u010dil sem se, da bom skraj\u0161al svoje tehnolo\u0161ko zaostajanje in pridobil poklic podatkovnega in\u017eenirja. Glavna spretnost podatkovnega in\u017eenirja je sposobnost razvijati, graditi in vzdr\u017eevati podatkovne skladi.<\/p>\n<p>Sestavil sem na\u010drt u\u010denja, mislim, da bo koristen ne le zame. Na\u010drt je usmerjen v samostojno u\u010denje te\u010dajev. Prioriteta so brezpla\u010dni te\u010daji v ru\u0161\u010dini.<\/p>\n<p>Poglavja: <\/p>\n<ul>\n<li><b>Algoritmi in podatkovne strukture. <\/b>Klju\u010dni razdelek. \u010ce ga obvlada\u0161, ti bo uspelo tudi vse ostalo. Pomembno je, da pridobi\u0161 izku\u0161nje v pisanju kode in uporabi osnovnih struktur in algoritmov.<\/li>\n<li><b>Podatkovne baze in skladi podatkov, poslovna inteligenca.<\/b> Od algoritmov prehajamo na shranjevanje in obdelavo podatkov.<\/li>\n<li><b>Hadoop in veliki podatki. <\/b>Ko podatkovna baza ne more vstopiti na trdi disk, ali ko je treba podatke analizirati, a Excel jih ve\u010d ne more obdelati, za\u010dnejo veliki podatki. Po mojem mnenju je treba preiti k temu razdelku \u0161ele po temeljitem \u0161tudiju dveh prej\u0161njih.<\/li>\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Algoritmi in podatkovne strukture<\/h2>\n<p>\nV svoj na\u010drt sem vklju\u010dil u\u010denje Pythona, ponovitev osnov matematike in algoritmike.<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/67\">Programiranje v Pythonu<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/512\">Python: osnove in uporaba<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2461\">Linearna algebra<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/91\/\">Osnove diskretne matematike <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/217\/\">Algoritmi: teorija in praksa. Metode<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/1547\">Algoritmi: teorija in praksa. Podatkovne strukture<\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Podatkovne baze in skladi podatkov, poslovna inteligenca<\/h2>\n<p><\/p>\n<ul>\n<li>Knjiga: Martin Kleppmann \u2014 Visokonapolnjene aplikacije. Programiranje, skaliranje, vzdr\u017eevanje. Knjiga opisuje, kako delujejo razli\u010dni podatkovni modeli, njihova notranja realizacija, omejitve in izbira glede na nalogo. <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/551\">Uvod v podatkovne baze <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/3203\">Poglobitev v DBMS<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2586\">Uvod v nerelacijske podatkovne baze <\/a><\/noindex><\/li>\n<\/ul>\n<p>\nTeme, povezane z gradnjo skladi\u0161\u010d podatkov, ETL, OLAP-kockami, zelo odvisno od orodij, zato v tem dokumentu ne zagotavljam povezav na te\u010daje. Smiselno je \u0161tudirati take sisteme, ko dela\u0161 na dolo\u010denem projektu v dolo\u010deni dru\u017ebi. Za spoznavanje ETL lahko poskusi\u0161 <noindex><a rel=\"nofollow\" href=\"https:\/\/www.talend.com\/\">Talend<\/a><\/noindex> ili <noindex><a rel=\"nofollow\" href=\"https:\/\/airflow.apache.org\/\">Airflow<\/a><\/noindex>.<\/p>\n<p>Po mojem mnenju je pomembno \u0161tudirati sodobno metodologijo oblikovanja skladi\u0161\u010d podatkov Data Vault <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/348188\/\">povezava 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"http:\/\/www.dwh-club.com\/ru\/dwh-bi-articles\/vse-o-data-vault.html\">povezava 2<\/a><\/noindex>. In najbolj\u0161i na\u010din za u\u010denje je, da ga uresni\u010di\u0161 na preprostem primeru. Na GitHubu je nekaj primerov uresni\u010ditve Data Vault. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/semashkinvg\/DataVault\">povezava<\/a><\/noindex>. Moderna knjiga o skladi\u0161tima podataka: Modeling the Agile Data Warehouse with Data Vault autora Hansa Hultgrena.<\/p>\n<p>Za upoznavanje s alatima Business Intelligence za krajnje korisnike mo\u017eete koristiti besplatni alat za izradu izvje\u0161taja, nadzornih plo\u010da i mini skladi\u0161ta podataka Power BI Desktop. Obrazovni materijali: <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/create-use-analytics-reports-power-bi\/\">povezava 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/consume-data-with-power-bi\/\">povezava 2<\/a><\/noindex>.<\/p>\n<h2>Hadoop i Big Data<\/h2>\n<p><\/p>\n<ul>\n<li>Treba zapo\u010deti s vlastitom implementacijom MapReduce bez vanjskih biblioteka. To \u0107e vam omogu\u0107iti bolje razumijevanje vi\u0161estrukih implementacija u budu\u0107nosti. Odli\u010dan primjer na Pythonu opisan je <noindex><a rel=\"nofollow\" href=\"http:\/\/michaelnielsen.org\/blog\/write-your-first-mapreduce-program-in-20-minutes\/\">tukaj<\/a><\/noindex>.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/150\">Hadoop. Sustav za obradu velikih koli\u010dina podataka.<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/openedu.ru\/course\/misis\/ABD\/\">Uvod u in\u017eenjering velikih podataka <\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Zaklju\u010dek<\/h2>\n<p>\nNe mo\u017ee se sve \u0161to nau\u010dite primijeniti na poslu. Stoga je potreban diplomski projekt u kojem \u0107ete isprobati primjenu novih znanja. <\/p>\n<p>Plan ne uklju\u010duje teme povezane s analizom podataka i strojnim u\u010denjem, jer to vi\u0161e pripada profesiji Data Scientist. Tako\u0111er nema tema vezanih uz oblake AWS, Azure jer ove teme sna\u017eno ovise o izbore platforme.<\/p>\n<p>Pitanja zajednici:<br \/>\nKoliko je moj plan unapre\u0111enja adekvatan? \u0160to ukloniti ili dodati?<br \/>\nKakav projekt preporu\u010dujete kao diplomski rad?<br \/>\n<br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/472622\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0435 \u0432\u043e\u0441\u0435\u043c\u044c \u043b\u0435\u0442 \u044f \u0440\u0430\u0431\u043e\u0442\u0430\u044e \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u0432 (\u043d\u0435 \u043f\u0438\u0448\u0443 \u043a\u043e\u0434 \u043d\u0430 \u0440\u0430\u0431\u043e\u0442\u0435), \u0447\u0442\u043e \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u043d\u0435\u0433\u0430\u0442\u0438\u0432\u043d\u043e \u0432\u043b\u0438\u044f\u0435\u0442 \u043d\u0430 \u043c\u043e\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0431\u0435\u043a\u044d\u043d\u0434. \u042f \u0440\u0435\u0448\u0438\u043b \u0441\u043e\u043a\u0440\u0430\u0442\u0438\u0442\u044c \u0441\u0432\u043e\u0451 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u043e\u0435 \u043e\u0442\u0441\u0442\u0430\u0432\u0430\u043d\u0438\u0435 \u0438 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u044e Data engineer. \u041e\u0441\u043d\u043e\u0432\u043d\u043e\u0439 \u043d\u0430\u0432\u044b\u043a Data engineer \u2014 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c \u0440\u0430\u0437\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c, \u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0430 \u0434\u0430\u043d\u043d\u044b\u0445. \u0421\u043e\u0441\u0442\u0430\u0432\u0438\u043b \u043f\u043b\u0430\u043d \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u0434\u0443\u043c\u0430\u044e \u043e\u043d \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u043b\u0435\u0437\u0435\u043d \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043b\u044f \u043c\u0435\u043d\u044f. \u041f\u043b\u0430\u043d [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-39275","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com 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