{"id":2605,"date":"2021-09-02T10:23:20","date_gmt":"2021-09-02T08:23:20","guid":{"rendered":"https:\/\/www.blockyforveeam.com\/metadaten-analyse\/"},"modified":"2022-11-23T14:16:38","modified_gmt":"2022-11-23T13:16:38","slug":"metadaten-analyse","status":"publish","type":"post","link":"https:\/\/www.blockyforveeam.com\/en\/metadaten-analyse\/","title":{"rendered":"With metadata analysis to data mining"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-10yg4p-584793dc40c3756000dcc82d2298d330\">\n.avia-section.av-10yg4p-584793dc40c3756000dcc82d2298d330{\nmargin-top:50px;\nmargin-bottom:0px;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-10yg4p-584793dc40c3756000dcc82d2298d330 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_one_full  avia-builder-el-first  news-intro avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  role=\"main\" 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class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image- avia-img-lazy-loading-not- avia_image ' src=\"https:\/\/www.blockyforveeam.com\/wp-content\/uploads\/2022\/09\/metadata-hub.jpg\" alt='' title=''   itemprop=\"thumbnailUrl\"  \/><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-2605'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-mz5ax-8589428c1a058a11f9ec77d7a888c0cc sc-av_one_full av-equal-height-column-flextable'>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mz5ax-8589428c1a058a11f9ec77d7a888c0cc\">\n#top 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el_before_av_heading  avia-builder-el-first  av-metadata-container-1'><div class='av-post-metadata-container-inner'><span class=\"av-post-metadata-content av-post-metadata-meta-content\"><span class=\"av-post-metadata-content av-post-metadata-published\"><span class=\"av-post-metadata-published-date\" >02.09.2021<\/span><\/span><span class=\"av-post-metadata-content av-post-metadata-separator\">|<\/span><span class=\"av-post-metadata-content av-post-metadata-category\"><span class=\"av-post-metadata-category-link\" ><a href=\"https:\/\/www.blockyforveeam.com\/en\/news\/\" >News<\/a><\/span><\/span><\/span><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1\">\n#top .av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1{\nmargin:0px 0px 0px 0px;\npadding-bottom:30px;\nfont-size:32px;\n}\nbody .av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n#top #wrap_all .av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 .av-special-heading-tag{\nfont-size:32px;\n}\n.av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 .av-subheading{\nfont-size:15px;\n}\n\n@media only screen and (min-width: 480px) and (max-width: 767px){ \n#top #wrap_all .av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n\n@media only screen and (max-width: 479px){ \n#top #wrap_all .av-special-heading.av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 .av-special-heading-tag{\nfont-size:0.8em;\n}\n}\n<\/style>\n<div  class='av-special-heading av-l7ohvq2m-2eac74eb262abf82bd0a86bcce9248b1 av-special-heading-h1 blockquote modern-quote  avia-builder-el-5  el_after_av_post_metadata  el_before_av_textblock  av-inherit-size'><h1 class='av-special-heading-tag '  itemprop=\"headline\"  >With metadata analysis to data mining<\/h1><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-q0455-3d3224cf47c06fb591636cfe0713032e\">\n#top .av_textblock_section.av-q0455-3d3224cf47c06fb591636cfe0713032e .avia_textblock{\nfont-size:20px;\n}\n<\/style>\n<section  class='av_textblock_section av-q0455-3d3224cf47c06fb591636cfe0713032e '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong>GRAU DATA Metadata-Hub extracts metadata tags from over 320 file formats of large data pools<\/strong><\/p>\n<p><strong>Schwaebisch Gmuend September 2nd, 2021<\/strong>\u00a0\u2013 With its Metadata Hub, GRAU DATA presents a new solution for reading out and capturing metadata. This gives companies the opportunity to precisely search and analyze their unstructured data, integrate it into big data projects and use the potential of large unstructured data volumes in a sustainable and long-term manner.<\/p>\n<p>\u201cMore than 80 percent of all data in companies is available in unstructured form and most companies have not yet been able to use the data, its content and, above all, its value in a sustainable manner. Without a detailed metadata analysis, the data is worthless after a short time, as the content can no longer be traced. With the metadata hub, the potential of large amounts of files can be exploited quickly and easily,\u201d explains Herbert Grau, CEO of GRAU DATA GmbH.<\/p>\n<p>The Metadata-Hub recognizes, analyzes and processes \u201cembedded\u201d metadata from unstructured data on file systems of any size, can process over 320 file formats and read out more than 50,000 different metadata tags in a very short time. \u201cEmbedded\u201d metadata contain much more extensive information than standard file system metadata. The Metadata-Hub is far more powerful than solutions that are mostly limited to certain file formats and do not allow cross-company and cross-departmental analysis of all file formats.<\/p>\n<p><strong>Universally applicable and scalable as required<\/strong><\/p>\n<p>The Metadata-Hub is platform-independent and can be easily and quickly integrated into almost any IT structure. It is controlled via a browser-based web interface. The metadata hub can be scaled to any extent by installing multiple hubs in parallel and administering them via the central WebUI. This means that the Metadata-Hub can be used in any company size and with any amount of files \u2013 from classic medium-sized companies to corporations or large research organizations with billions of files.<\/p>\n<p>The core component of the Metadata-Hub is the intelligent file system crawler &amp; harvester (metadata collector). This continuously extracts the embedded metadata from the files. The Crawler &amp; Harvester accesses all \u201cembedded\u201d metadata via NFS or SMB and extracts millions of tags in a very short time. The tags are saved in a specially designed database immediately after extraction. The metadata information is then available in a structured manner, for example for evaluations, queries or queries. A GraphQL-based API, a native Python SDK and a comprehensive command line interface also offer seamless integration into solutions from other providers for automated big data processing.<\/p>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":1301,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[18],"tags":[],"class_list":["post-2605","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>With metadata analysis to data mining - Blocky for Veeam<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.blockyforveeam.com\/en\/metadaten-analyse\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"With metadata analysis to data mining - 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