{"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\/sv\/blog\/administrirovanie\/plan-prokachki-dlya-polucheniya-professii-data-engineer","title":{"rendered":"Uppgraderingsplan f\u00f6r att bli Data engineer","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Under de senaste \u00e5tta \u00e5ren har jag arbetat som projektledare (jag skriver ingen kod p\u00e5 jobbet), vilket naturligtvis p\u00e5verkar min tekniska bakgrund negativt. Jag har beslutat mig f\u00f6r att minska mitt teknologiska eftersl\u00e4pande och f\u00e5 en yrkesroll som Data engineer. Den huvudsakliga f\u00e4rdigheten f\u00f6r en Data engineer \u00e4r f\u00f6rm\u00e5gan att designa, bygga och underh\u00e5lla datalager.<\/p>\n<p>Jag har skapat en studieplan som jag tror kommer att vara anv\u00e4ndbar inte bara f\u00f6r mig. Planen \u00e4r inriktad p\u00e5 sj\u00e4lvstudier. Prioritet ges till gratis kurser p\u00e5 ryska.<\/p>\n<p>Avsnitt: <\/p>\n<ul>\n<li><b>Algoritmer och datastrukturer. <\/b>Nyckelavsnitt. Om du beh\u00e4rskar detta kommer allt annat ocks\u00e5 att fungera. Det \u00e4r viktigt att \u00f6va p\u00e5 att skriva kod och anv\u00e4nda grundl\u00e4ggande strukturer och algoritmer.<\/li>\n<li><b>Databaser och datalager, Business Intelligence.<\/b> Vi \u00f6verg\u00e5r fr\u00e5n algoritmer till lagring och bearbetning av data.<\/li>\n<li><b>Hadoop och Big Data. <\/b>N\u00e4r databasen inte f\u00e5r plats p\u00e5 h\u00e5rddisken, eller n\u00e4r data beh\u00f6ver analyseras men Excel redan har sv\u00e5rt att ladda dem, b\u00f6rjar big data. Enligt min \u00e5sikt b\u00f6r man g\u00e5 vidare till detta avsnitt f\u00f6rst efter en grundlig genomg\u00e5ng av de tv\u00e5 f\u00f6reg\u00e5ende.<\/li>\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Algoritmer och datastrukturer<\/h2>\n<p>\nI min plan inkluderade jag att studera Python, repetera grunderna i matematik och algoritmer.<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/67\">Programmering i Python<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/512\">Python: grunder och till\u00e4mpningar<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2461\">Linj\u00e4ra algebra<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/91\/\">Introduktion till diskret matematik <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/217\/\">Algoritmer: teori och praktik. Metoder<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/1547\">Algoritmer: teori och praktik. Datastrukturer<\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Databaser och datalager, Business Intelligence<\/h2>\n<p><\/p>\n<ul>\n<li>Bok: Martin Kleppmann \u2013 H\u00f6gt belastade applikationer. Programmering, skalning, underh\u00e5ll. Boken beskriver hur olika datamodeller fungerar, deras interna implementering, begr\u00e4nsningar och val beroende p\u00e5 uppgiften. <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/551\">Introduktion till databaser <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/3203\">Dyk ner i databashanteringssystem<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2586\">Introduktion till icke-relationella databaser <\/a><\/noindex><\/li>\n<\/ul>\n<p>\n\u00c4mnen relaterade till byggandet av datalager, ETL, OLAP-kuber \u00e4r starkt beroende av verktygen, s\u00e5 jag ger inga l\u00e4nkar till kurser i detta dokument. Det \u00e4r l\u00e4mpligt att studera s\u00e5dana system n\u00e4r man arbetar med ett specifikt projekt i ett specifikt f\u00f6retag. F\u00f6r att bekanta sig med ETL kan man prova <noindex><a rel=\"nofollow\" href=\"https:\/\/www.talend.com\/\">Talend<\/a><\/noindex> eller <noindex><a rel=\"nofollow\" href=\"https:\/\/airflow.apache.org\/\">Airflow<\/a><\/noindex>.<\/p>\n<p>Enligt min \u00e5sikt \u00e4r det viktigt att studera den moderna metodologin f\u00f6r datalagerdesign, Data Vault. <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/348188\/\">l\u00e4nk 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"http:\/\/www.dwh-club.com\/ru\/dwh-bi-articles\/vse-o-data-vault.html\">l\u00e4nk 2<\/a><\/noindex>. Och det b\u00e4sta s\u00e4ttet att l\u00e4ra sig det \u00e4r att ta och implementera det p\u00e5 ett enkelt exempel. P\u00e5 GitHub finns det flera exempel p\u00e5 implementeringen av Data Vault. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/semashkinvg\/DataVault\">l\u00e4nk<\/a><\/noindex>. En modern bok om datalager: Modeling the Agile Data Warehouse with Data Vault av Hans Hultgren.<\/p>\n<p>F\u00f6r att bekanta sig med verktyg inom Business Intelligence f\u00f6r slutanv\u00e4ndare kan man anv\u00e4nda den kostnadsfria rapport- och dashboardkonstrukt\u00f6ren Power BI Desktop. Utbildningsmaterial: <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/create-use-analytics-reports-power-bi\/\">l\u00e4nk 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/consume-data-with-power-bi\/\">l\u00e4nk 2<\/a><\/noindex>.<\/p>\n<h2>Hadoop och Big Data<\/h2>\n<p><\/p>\n<ul>\n<li>Man b\u00f6r b\u00f6rja med att sj\u00e4lvst\u00e4ndigt implementera MapReduce utan externa bibliotek. Detta kommer att hj\u00e4lpa en att b\u00e4ttre f\u00f6rst\u00e5 tr\u00e5dning i framtiden. Ett utm\u00e4rkt exempel i Python beskrivs <noindex><a rel=\"nofollow\" href=\"http:\/\/michaelnielsen.org\/blog\/write-your-first-mapreduce-program-in-20-minutes\/\">). Ett typiskt exempel p\u00e5 anv\u00e4ndning:<\/a><\/noindex>.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/150\">Hadoop. Ett system f\u00f6r bearbetning av stora datam\u00e4ngder.<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/openedu.ru\/course\/misis\/ABD\/\">Introduktion till big data-ingenj\u00f6rskonst <\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Slutsats<\/h2>\n<p>\nInte allt som studeras g\u00e5r att till\u00e4mpa p\u00e5 arbetet. D\u00e4rf\u00f6r \u00e4r ett examensprojekt n\u00f6dv\u00e4ndigt, d\u00e4r man f\u00e5r testa de nya kunskaperna. <\/p>\n<p>I planen finns inga \u00e4mnen relaterade till dataanalys och Machine Learning, eftersom det mer h\u00f6r till yrket Data Scientist. Det finns inte heller \u00e4mnen relaterade till moln som AWS, Azure d\u00e5 dessa \u00e4mnen starkt beror p\u00e5 plattformsvalet.<\/p>\n<p>Fr\u00e5gor till communityn:<br \/>\nHur rimlig \u00e4r min utvecklingsplan? Vad b\u00f6r tas bort eller l\u00e4ggas till?<br \/>\nVilket projekt rekommenderar ni f\u00f6r ett examensarbete?<br \/>\n<br \/>K\u00e4lla: <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 -->\n\t<meta name=\"description\" content=\"\u041f\u043e\u0441\u043b\u0435\u0434\u043d\u0438\u0435 \u0432\u043e\u0441\u0435\u043c\u044c \u043b\u0435\u0442 \u044f 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