{"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\/fr\/blog\/administrirovanie\/plan-prokachki-dlya-polucheniya-professii-data-engineer","title":{"rendered":"Plan de mise \u00e0 niveau pour obtenir le m\u00e9tier d'ing\u00e9nieur de donn\u00e9es","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Depuis huit ans, je travaille en tant que chef de projet (je n'\u00e9cris pas de code au travail), ce qui a naturellement un impact n\u00e9gatif sur mes comp\u00e9tences techniques. J'ai d\u00e9cid\u00e9 de combler mon retard technologique et d'acqu\u00e9rir le m\u00e9tier d'ing\u00e9nieur Data. La comp\u00e9tence principale d'un ing\u00e9nieur Data est la capacit\u00e9 \u00e0 concevoir, construire et maintenir des entrep\u00f4ts de donn\u00e9es.<\/p>\n<p>J'ai \u00e9labor\u00e9 un plan d'apprentissage, qui, je pense, sera utile non seulement pour moi. Le plan est ax\u00e9 sur l'auto-apprentissage des cours. La priorit\u00e9 est donn\u00e9e aux cours gratuits en langue russe.<\/p>\n<p>Sections : <\/p>\n<ul>\n<li><b>Algorithmes et structures de donn\u00e9es. <\/b>Section cl\u00e9. Si tu l'\u00e9tudies, tout le reste suivra aussi. Il est important de s'entra\u00eener \u00e0 \u00e9crire du code et \u00e0 utiliser les principales structures et algorithmes.<\/li>\n<li><b>Bases de donn\u00e9es et entrep\u00f4ts de donn\u00e9es, Business Intelligence.<\/b> Nous passons des algorithmes au stockage et au traitement des donn\u00e9es.<\/li>\n<li><b>Hadoop et Big Data. <\/b>Lorsque les donn\u00e9es ne tiennent pas sur le disque dur, ou quand il faut analyser des donn\u00e9es qu'Excel ne peut plus charger, on commence \u00e0 parler de Big Data. \u00c0 mon avis, il faut aborder cette section seulement apr\u00e8s avoir bien \u00e9tudi\u00e9 les deux pr\u00e9c\u00e9dentes.<\/li>\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Algorithmes et structures de donn\u00e9es<\/h2>\n<p>\nMon plan inclut l'apprentissage de Python, la r\u00e9vision des bases de math\u00e9matiques et de l'algorithmique.<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/67\">Programmation en Python<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/512\">Python : bases et applications<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2461\">Alg\u00e8bre lin\u00e9aire<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/91\/\">Introduction aux math\u00e9matiques discr\u00e8tes <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/217\/\">Algorithmes : th\u00e9orie et pratique. M\u00e9thodes<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/1547\">Algorithmes : th\u00e9orie et pratique. Structures de donn\u00e9es<\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Bases et entrep\u00f4ts de donn\u00e9es, Business Intelligence<\/h2>\n<p><\/p>\n<ul>\n<li>Livre : Martin Kleppmann \u2014 Applications \u00e0 forte charge. Programmation, mise \u00e0 l'\u00e9chelle, maintenance. Le livre d\u00e9crit comment fonctionnent diff\u00e9rents mod\u00e8les de donn\u00e9es, leur mise en \u0153uvre de l'int\u00e9rieur, les limites et les choix en fonction des t\u00e2ches. <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/551\">Introduction aux bases de donn\u00e9es <\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/3203\">Plong\u00e9e dans les SGBD<\/a><\/noindex><\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/2586\">Introduction aux bases de donn\u00e9es non relationnelles <\/a><\/noindex><\/li>\n<\/ul>\n<p>\nLes sujets li\u00e9s \u00e0 la construction d'entrep\u00f4ts de donn\u00e9es, ETL, cubes OLAP d\u00e9pendent fortement des outils, c'est pourquoi je ne fournis pas de liens vers les cours dans ce document. Il est judicieux d'\u00e9tudier ces syst\u00e8mes en travaillant sur un projet sp\u00e9cifique dans une entreprise donn\u00e9e. Pour se familiariser avec l'ETL, on peut essayer <noindex><a rel=\"nofollow\" href=\"https:\/\/www.talend.com\/\">Talend<\/a><\/noindex> ou <noindex><a rel=\"nofollow\" href=\"https:\/\/airflow.apache.org\/\">Airflow<\/a><\/noindex>.<\/p>\n<p>\u00c0 mon avis, il est important d'\u00e9tudier la m\u00e9thodologie moderne de conception des entrep\u00f4ts de donn\u00e9es Data Vault. <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/348188\/\">lien 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"http:\/\/www.dwh-club.com\/ru\/dwh-bi-articles\/vse-o-data-vault.html\">lien 2<\/a><\/noindex>. Et le meilleur moyen de l'apprendre est de le mettre en \u0153uvre avec un exemple simple. Sur GitHub, il y a plusieurs exemples d'impl\u00e9mentation de Data Vault. <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/semashkinvg\/DataVault\">lien<\/a><\/noindex>. Livre moderne sur les entrep\u00f4ts de donn\u00e9es : Modeling the Agile Data Warehouse with Data Vault par Hans Hultgren.<\/p>\n<p>Pour d\u00e9couvrir les outils de Business Intelligence destin\u00e9s aux utilisateurs finaux, vous pouvez utiliser le constructeur de rapports gratuit, les tableaux de bord et le mini entrep\u00f4t de donn\u00e9es Power BI Desktop. Mat\u00e9riel p\u00e9dagogique : <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/create-use-analytics-reports-power-bi\/\">lien 1<\/a><\/noindex>, <noindex><a rel=\"nofollow\" href=\"https:\/\/docs.microsoft.com\/ru-ru\/learn\/paths\/consume-data-with-power-bi\/\">lien 2<\/a><\/noindex>.<\/p>\n<h2>Hadoop et Big Data<\/h2>\n<p><\/p>\n<ul>\n<li>Il faut commencer par impl\u00e9menter MapReduce de mani\u00e8re autonome sans utiliser de biblioth\u00e8ques tierces. Cela permettra de mieux comprendre \u00e0 l'avenir les impl\u00e9mentations multithread. Un excellent exemple en Python est d\u00e9crit <noindex><a rel=\"nofollow\" href=\"http:\/\/michaelnielsen.org\/blog\/write-your-first-mapreduce-program-in-20-minutes\/\">ici<\/a><\/noindex>.<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/stepik.org\/course\/150\">Hadoop. Un syst\u00e8me pour le traitement de grands volumes de donn\u00e9es.<\/a><\/noindex> <\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/openedu.ru\/course\/misis\/ABD\/\">Introduction \u00e0 l'ing\u00e9nierie des donn\u00e9es massives <\/a><\/noindex><\/li>\n<\/ul>\n<p><\/p>\n<h2>Conclusion<\/h2>\n<p>\nTout ce que vous apprenez ne peut pas \u00eatre appliqu\u00e9 au travail. C'est pourquoi un projet de dipl\u00f4me est n\u00e9cessaire, o\u00f9 vous pourrez essayer d'appliquer vos nouvelles connaissances. <\/p>\n<p>Le plan ne contient pas de sujets li\u00e9s \u00e0 l'analyse de donn\u00e9es et au Machine Learning, car cela rel\u00e8ve davantage de la profession de Data Scientist. Il n'y a \u00e9galement pas de sujets li\u00e9s aux clouds AWS, Azure car ces th\u00e8mes d\u00e9pendent fortement du choix de la plateforme.<\/p>\n<p>Questions \u00e0 la communaut\u00e9 :<br \/>\nMon plan d'am\u00e9lioration est-il raisonnable ? Que devrais-je enlever ou ajouter ?<br \/>\nQuel projet recommandez-vous comme travail de dipl\u00f4me ?<br \/>\n<br \/>Source : <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 5.0.2 - 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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