{"id":78069,"date":"2020-04-16T01:42:42","date_gmt":"2020-04-15T23:42:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut"},"modified":"2020-04-16T01:42:42","modified_gmt":"2020-04-15T23:42:42","slug":"data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","title":{"rendered":"Data Engineer og Data Scientist: hvad de kan og hvor meget de tjener","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Sammen med Elena Gerasimova, lederen af fakultetet \"<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=14042020_dataengscientist\">Data Science og analyse<\/a><\/noindex>\" hos Netology forts\u00e6tter vi med at unders\u00f8ge, hvordan Data Scientist og Data Engineer interagerer med hinanden og hvilke forskelle der er imellem dem.<\/p>\n<p>I f\u00f8rste del fortalte vi <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/496082\/\">om de grundl\u00e6ggende forskelle mellem Data Scientist og Data Engineer<\/a><\/noindex>. <\/p>\n<p>I dette materiale vil vi tale om, hvilke viden og f\u00e6rdigheder specialisterne skal have, hvilken uddannelse der v\u00e6rds\u00e6ttes af arbejdsgivere, hvordan jobsamtaler forl\u00f8ber, samt hvor meget dataingeni\u00f8rer og dataforskere tjener.\u00a0<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Hvad skal forskere og ingeni\u00f8rer vide<\/h2>\n<p>\nEn relevant uddannelse for begge specialister er Computer Science.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer og Data Scientist: hvad de kan og hvor meget de tjener\" src=\"\/wp-content\/uploads\/2020\/04\/14e804895cb4eac665c2b8558a5911ba.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nEnhver dataspesialist - data scientist eller analytiker - skal kunne bevise korrektheden af \u200b\u200bderes konklusioner. For dette kr\u00e6ves det at have indsigt i <b>statistik og basal matematik relateret til statistik<\/b>.<\/p>\n<p>Maskinl\u00e6ring og analysev\u00e6rkt\u00f8jer er uundg\u00e5elige i den moderne verden. Hvis de s\u00e6dvanlige v\u00e6rkt\u00f8jer ikke er tilg\u00e6ngelige, skal man have f\u00e6rdigheder i <b>hurtig l\u00e6ring af nye v\u00e6rkt\u00f8jer, oprettelse af enkle scripts til automatisering af opgaver<\/b>.<\/p>\n<p>Det er vigtigt at bem\u00e6rke, at en dataspesialist skal kunne kommunikere resultaterne af analysen effektivt. Til dette hj\u00e6lper <b>data visualisering<\/b> eller resultaterne af udf\u00f8rte unders\u00f8gelser og hypotesetest. Specialister skal kunne oprette diagrammer og grafer, bruge visualiseringsv\u00e6rkt\u00f8jer, forst\u00e5 og forklare data fra dashboards.<\/p>\n<p><img decoding=\"async\" alt=\"Data Engineer og Data Scientist: hvad de kan og hvor meget de tjener\" src=\"\/wp-content\/uploads\/2020\/04\/f701a922442a01286c340314861ab343.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nFor en dataingeni\u00f8r er tre retninger i fokus.<\/p>\n<p><b>Algoritmer og datastrukturer<\/b>. Det er vigtigt at f\u00e5 erfaring med at skrive kode og anvende de grundl\u00e6ggende strukturer og algoritmer:<\/p>\n<ul>\n<li>analyse af algoritmers kompleksitet,<\/li>\n<li>evnen til at skrive klar og vedligeholdelsesvenlig kode,\u00a0<\/li>\n<li>batch-behandling,<\/li>\n<li>behandling i realtid.<\/li>\n<\/ul>\n<p>\n<b>Databaser og datalagre, Business Intelligence<\/b>:<\/p>\n<ul>\n<li>Opbevaring og behandling af data,<\/li>\n<li>design af integrerede systemer,<\/li>\n<li>Data Ingestion,<\/li>\n<li>fordelte filsystemer.<\/li>\n<\/ul>\n<p>\n<b>Hadoop og Big Data<\/b>. M\u00e6ngden af data vokser, og inden for 3-5 \u00e5r vil disse teknologier blive n\u00f8dvendige for hver ingeni\u00f8r. Plus:<\/p>\n<ul>\n<li>Data Lakes,<\/li>\n<li>arbejde med cloud-udbydere.<\/li>\n<\/ul>\n<p>\n<b>Maskinl\u00e6ring<\/b> vil blive brugt overalt, og det er vigtigt at forst\u00e5, hvilke forretningsopgaver det vil kunne l\u00f8se. Det er ikke n\u00f8dvendigt at kunne lave modeller (det klarer dataforskere), men det er n\u00f8dvendigt at forst\u00e5 deres anvendelse og de relevante krav.<\/p>\n<h2>Hvor meget tjener ingeni\u00f8rer og forskere<\/h2>\n<p><\/p>\n<h3>Indkomsten for datareporteringsingeni\u00f8rer<\/h3>\n<p>\n<b>I den internationale praksis<\/b> er den begyndelsesl\u00f8n normalt $100.000 om \u00e5ret og stiger betydeligt med erfaring, if\u00f8lge Glassdoor. Derudover tilbyder virksomheder ofte aktieoptioner og bonusser p\u00e5 5\u201215% \u00e5rligt.<\/p>\n<p><b>I Rusland<\/b> er begyndelsesl\u00f8nnen normalt ikke mindre end 50.000 rubler i regionerne og 80.000 i Moskva. P\u00e5 dette stadium kr\u00e6ves der ikke erfaring, bortset fra gennemf\u00f8rt tr\u00e6ning.<\/p>\n<p>Efter 1\u20122 \u00e5rs arbejde er intervallet 90\u2012100.000 rubler.<\/p>\n<p>Intervallet stiger til 120\u2012160.000 efter 2\u20125 \u00e5r. Faktorer som specialisering i tidligere virksomheder, st\u00f8rrelsen p\u00e5 projekterne, arbejde med big data osv. tilf\u00f8jes.<\/p>\n<p>Efter 5 \u00e5rs erfaring bliver det lettere at s\u00f8ge job i tilst\u00f8dende afdelinger eller ans\u00f8ge om s\u00e5dan specialiserede stillinger som:<\/p>\n<ul>\n<li>Arkitekt eller senior udvikler i en bank eller telekom \u2014 omkring 250.000.\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Pre-Sales hos en leverand\u00f8r, hvis teknologi du har arbejdet mest med \u2014 200.000 plus mulig bonus (1\u20121,5 millioner rubler).\u00a0\n<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Eksperter i implementering af enterprise business applications som SAP \u2014 op til 350.000.\n<\/li>\n<\/ul>\n<p><\/p>\n<h3>Indt\u00e6gt for data-scientister<\/h3>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/vacancy.newhr.ru\/data\/data\/salary\/Normalresearch.ru_Analysts_2019.pdf\">Unders\u00f8gelse<\/a><\/noindex> af analytikerne fra firmaet 'Normale unders\u00f8gelser' og rekrutteringsbureauet New.HR viser, at Data Science-specialister i gennemsnit tjener en h\u00f8jere l\u00f8n end analytikere inden for andre fagomr\u00e5der.\u00a0<\/p>\n<p>I Rusland er begyndelsesl\u00f8nnen for data-scientister med mindre end et \u00e5rs erfaring \u2014 fra 113.000 rubler.\u00a0<\/p>\n<blockquote><p>Som erfaring t\u00e6ller ogs\u00e5 gennemf\u00f8rte uddannelsesprogrammer nu.<\/p><\/blockquote>\n<p> Efter 1\u20122 \u00e5r kan en s\u00e5dan specialist allerede tjene op til 160.000.<\/p>\n<p>For medarbejdere med 4\u20125 \u00e5rs erfaring stiger intervallet til 310.000.<\/p>\n<h2>Hvordan interviews forl\u00f8ber<\/h2>\n<p>\nI Vesten gennemg\u00e5r kandidater fra professionelle uddannelsesprogrammer deres f\u00f8rste interview i gennemsnit 5 uger efter afslutningen af uddannelsen. Cirka 85% finder arbejde inden for 3 m\u00e5neder.<\/p>\n<p>Processen for at deltage i interviews til dataingeni\u00f8r- og data-scientist-stillinger adskiller sig praktisk talt ikke. Den best\u00e5r normalt af fem trin.<\/p>\n<p><b>CV<\/b>. Ans\u00f8gere med uhensigtsm\u00e6ssig tidligere erfaring (f.eks. fra marketing) skal for hver virksomhed forberede et detaljeret f\u00f8lgebrev eller have anbefalinger fra en repr\u00e6sentant for denne virksomhed.<\/p>\n<p><b>Teknisk screening<\/b>. Finder som regel sted over telefonen. Best\u00e5r af en-to sv\u00e6re og lige s\u00e5 mange lette sp\u00f8rgsm\u00e5l, der vedr\u00f8rer den nuv\u00e6rende tech-stack hos arbejdsgiveren.<\/p>\n<p><b>HR-interview<\/b>. It can take place over the phone. At this stage, the candidate is assessed for general adequacy and ability to communicate.<\/p>\n<p><b>Technical interview<\/b>. Most often conducted in person. The level of positions in the company's staffing varies, and positions may be named differently. Therefore, at this stage, technical knowledge is specifically evaluated.<\/p>\n<p><b>Interview with the technical director \/ chief architect<\/b>. Engineer and scientist are strategic positions, and for many companies, they are also new. It is important that a potential colleague is likable to the manager and shares similar views.<\/p>\n<h2>What will help scientists and engineers in career advancement<\/h2>\n<p>\nThere are many new tools for working with data. However, few people are equally well-versed in all of them.\u00a0<\/p>\n<p>Many companies are not ready to hire employees without work experience. However, candidates with a minimal foundation and knowledge of popular tools can gain the necessary experience through self-study and development.<\/p>\n<h3>Useful qualities for a data engineer and data scientist<\/h3>\n<p>\n<b>A desire and ability to learn<\/b>. It is not necessary to immediately chase experience or change jobs for a new tool, but one must be prepared to switch to a new area.<\/p>\n<p><b>A drive for automating routine processes<\/b>. This is important not only for productivity but also for maintaining high data quality and speed of delivery to consumers.<\/p>\n<p><b>Attention to detail and understanding what is 'under the hood' of processes<\/b>. A specialist with broad exposure and in-depth knowledge of processes will solve tasks more quickly.<\/p>\n<p>In addition to excellent knowledge of algorithms, data structures, and pipelines, you need to <b>learn to think in products<\/b> \u2014 to see architecture and business solutions as a unified picture.\u00a0<\/p>\n<p>For example, it is useful to take any well-known service and devise a database for it. Then think about how to develop ETL and DW that will fill it with data, what consumers there will be, what is important for them to know about the data, and how customers interact with applications: for job searching and networking, car rentals, podcast applications, educational platforms. <\/p>\n<blockquote><p>Positionerne som analytiker, data scientist og ingeni\u00f8r er meget t\u00e6tte, hvorfor det er nemmere at skifte mellem disse retninger end fra andre omr\u00e5der.<\/p><\/blockquote>\n<p>Uanset hvad, vil folk med enhver IT-baggrund have lettere ved det end dem uden. I gennemsnit skifter voksne motiverede personer job og omskoler sig hver 1,5-2 \u00e5r. Det er lettere for dem, som l\u00e6rer i grupper og med en mentor, sammenlignet med dem, der kun stoler p\u00e5 \u00e5bne kilder.<\/p>\n<h2>Fra redaktionen af Netology<\/h2>\n<p>\nHvis du overvejer at blive Data Engineer eller Data Scientist, inviterer vi dig til at udforske programmerne for vores kurser:<\/p>\n<ul>\n<li>Faget \u201c<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=14042020_dataengscientist\">Data Engineer<\/a><\/noindex>\u00bb.\u00a0\u00a0<\/li>\n<li>Faget \u201c<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=14042020_dataengscientist\">Data Scientist<\/a><\/noindex>\u00bb.<\/li>\n<li>Kurset \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/data-analyst\/?utm_source=habr&amp;utm_medium=externalblog&amp;utm_campaign=bds_da_ou&amp;utm_content=14042020_dataengscientist\">Dataanalytiker<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/497214\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 \u0415\u043b\u0435\u043d\u043e\u0439 \u0413\u0435\u0440\u0430\u0441\u0438\u043c\u043e\u0432\u043e\u0439, \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442\u0430 \u00abData Science \u0438 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430\u00bb \u0432 \u041d\u0435\u0442\u043e\u043b\u043e\u0433\u0438\u0438 \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u043c \u0440\u0430\u0437\u0431\u0438\u0440\u0430\u0442\u044c\u0441\u044f, \u043a\u0430\u043a \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0443\u044e\u0442 \u043c\u0435\u0436\u0434\u0443 \u0441\u043e\u0431\u043e\u0439 \u0438 \u0447\u0435\u043c \u0440\u0430\u0437\u043b\u0438\u0447\u0430\u044e\u0442\u0441\u044f Data Scientist \u0438 Data Engineer. \u0412 \u043f\u0435\u0440\u0432\u043e\u0439 \u0447\u0430\u0441\u0442\u0438 \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u043b\u0438 \u043e\u0431 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043e\u0442\u043b\u0438\u0447\u0438\u044f\u0445 Data Scientist \u0438 Data Engineer. \u0412 \u044d\u0442\u043e\u043c \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u0435 \u043f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u043c \u043e \u0442\u043e\u043c, \u043a\u0430\u043a\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438 \u0438 \u043d\u0430\u0432\u044b\u043a\u0430\u043c\u0438 \u0434\u043e\u043b\u0436\u043d\u044b \u043e\u0431\u043b\u0430\u0434\u0430\u0442\u044c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u044b, \u043a\u0430\u043a\u043e\u0435 \u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0446\u0435\u043d\u0438\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0442\u043e\u0434\u0430\u0442\u0435\u043b\u044f\u043c\u0438, [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":78070,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-78069","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 \u0415\u043b\u0435\u043d\u043e\u0439 \u0413\u0435\u0440\u0430\u0441\u0438\u043c\u043e\u0432\u043e\u0439, \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442\u0430 \u00ab\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" \/>\n\t\t<meta property=\"og:locale\" content=\"da_DK\" \/>\n\t\t<meta property=\"og:site_name\" content=\"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"\ud83e\udd47Data Engineer \u0438 Data Scientist: \u0447\u0442\u043e \u0443\u043c\u0435\u044e\u0442 \u0438 \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u044e\u0442 | ProHoster\" \/>\n\t\t<meta property=\"og:description\" content=\"\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 \u0415\u043b\u0435\u043d\u043e\u0439 \u0413\u0435\u0440\u0430\u0441\u0438\u043c\u043e\u0432\u043e\u0439, \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442\u0430 \u00ab\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut\" \/>\n\t\t<meta property=\"og:image\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:secure_url\" content=\"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg\" \/>\n\t\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2020-04-15T23:42:42+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2020-04-15T23:42:42+00:00\" \/>\n\t\t<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/prohoster\" \/>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"\ud83e\udd47Data Engineer og Data Scientist: Hvad de kan og hvad de tjener | ProHoster","description":"Sammen med Elena Gerasimova, lederen af fakultetet \"","canonical_url":"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"da_DK","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47Data Engineer \u0438 Data Scientist: \u0447\u0442\u043e \u0443\u043c\u0435\u044e\u0442 \u0438 \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u044e\u0442 | ProHoster","og:description":"\u0412\u043c\u0435\u0441\u0442\u0435 \u0441 \u0415\u043b\u0435\u043d\u043e\u0439 \u0413\u0435\u0440\u0430\u0441\u0438\u043c\u043e\u0432\u043e\u0439, \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0435\u043c \u0444\u0430\u043a\u0443\u043b\u044c\u0442\u0435\u0442\u0430 \u00ab","og:url":"https:\/\/prohoster.info\/da\/blog\/administrirovanie\/data-engineer-i-data-scientist-chto-umeyut-i-skolko-zarabatyvayut","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2020-04-15T23:42:42+00:00","article:modified_time":"2020-04-15T23:42:42+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":{"post_id":"78069","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":null,"schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"seo_analyzer_scan_date":null,"breadcrumb_settings":null,"limit_modified_date":false,"reviewed_by":null,"ai":null,"created":"2021-02-28 17:06:36","updated":"2022-09-30 10:11:25","focus_keyword":null,"additional_keywords":null,"truseo_locale":null},"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/posts\/78069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/comments?post=78069"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/posts\/78069\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/media\/78070"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/media?parent=78069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/categories?post=78069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/da\/wp-json\/wp\/v2\/tags?post=78069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}