{"id":19677,"date":"2019-02-08T15:23:09","date_gmt":"2019-02-08T15:23:09","guid":{"rendered":"https:\/\/itg.es\/?page_id=19677"},"modified":"2023-05-01T10:51:11","modified_gmt":"2023-05-01T10:51:11","slug":"bigdata-analytics","status":"publish","type":"page","link":"https:\/\/itg.es\/en\/software-technology-industry-4-0\/bigdata-analytics\/","title":{"rendered":"Software \/ Industry 4.0 technologies &#8211; Big Data Analytics"},"content":{"rendered":"<section class=\"l-section wpb_row height_auto with_img\" id=\"slider\"><div class=\"l-section-img\" role=\"img\" aria-label=\"Image\" data-img-width=\"1920\" data-img-height=\"300\" style=\"background-image: url(https:\/\/itg.es\/wp-content\/uploads\/cabecera-big-data.jpg);background-repeat: no-repeat;\"><\/div><div class=\"l-section-overlay\" style=\"background:rgba(26,26,26,0.40)\"><\/div><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_bottom type_default stacking_default\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><h1 class=\"w-post-elm post_title color_link_inherit\">Software \/ Industry 4.0 technologies &#8211; Big Data Analytics<\/h1><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><p>Our work is to find data relationships beyond those considered obvious, and create new value-added information<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row height_small\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><h2 class=\"w-text icon_atleft\"><span class=\"w-text-h\"><i class=\"fas fa-square\"><\/i><span class=\"w-text-value\"><strong>Successful<\/strong> stories<\/span><\/span><\/h2><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><p>We bring innovative solutions for the products of companies<\/p>\n<\/div><\/div><div class=\"g-cols wpb_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-image align_none us_animate_afl\"><div class=\"w-image-h\"><img decoding=\"async\" width=\"350\" height=\"220\" src=\"https:\/\/itg.es\/wp-content\/uploads\/geozzy_ITG_350.jpg\" class=\"attachment-full size-full\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/itg.es\/wp-content\/uploads\/geozzy_ITG_350.jpg 350w, https:\/\/itg.es\/wp-content\/uploads\/geozzy_ITG_350-188x118.jpg 188w, https:\/\/itg.es\/wp-content\/uploads\/geozzy_ITG_350-220x138.jpg 220w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/div><\/div><div class=\"w-separator size_small\"><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h5>Geozzy: Big Data to innovate tourism management<\/h5>\n<p>Based on the browsing data from people visiting a tourism website owned by <strong>INNOTO<\/strong>, an innovative company from A Coru\u00f1a, we have been able to design heat maps representing the website\u2019s contents and most viewed sections, analyze the origin of the visitors and determine browsing patterns. In short, we have been able to adapt the contents to each specific user in real time.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-image align_none us_animate_afb\"><div class=\"w-image-h\"><img decoding=\"async\" width=\"350\" height=\"220\" src=\"https:\/\/itg.es\/wp-content\/uploads\/h-mec._ITG_350.jpg\" class=\"attachment-full size-full\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/itg.es\/wp-content\/uploads\/h-mec._ITG_350.jpg 350w, https:\/\/itg.es\/wp-content\/uploads\/h-mec._ITG_350-188x118.jpg 188w, https:\/\/itg.es\/wp-content\/uploads\/h-mec._ITG_350-220x138.jpg 220w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/div><\/div><div class=\"w-separator size_small\"><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h5>H-MEC: BigData in the electrical resistivity of cement<\/h5>\n<p><strong>COMSA, Siam, General de Hormigones<\/strong> and <strong>CyE<\/strong>, along with the researchers from the Technological Institute of Galicia (ITG), have worked together to develop a new system designed for the preliminary determination of the strength in service of different types of cement through the determination of their electrical resistivity. This innovation makes it possible to reduce time and costs incurred in the works.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-image align_none us_animate_afr\"><div class=\"w-image-h\"><img decoding=\"async\" width=\"350\" height=\"220\" src=\"https:\/\/itg.es\/wp-content\/uploads\/WaterSIG_ITG_350.jpg\" class=\"attachment-full size-full\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/itg.es\/wp-content\/uploads\/WaterSIG_ITG_350.jpg 350w, https:\/\/itg.es\/wp-content\/uploads\/WaterSIG_ITG_350-188x118.jpg 188w, https:\/\/itg.es\/wp-content\/uploads\/WaterSIG_ITG_350-220x138.jpg 220w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/div><\/div><div class=\"w-separator size_small\"><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h4>WaterSIG: Bigdata to innovate water management<\/h4>\n<p>The partnership made up of the companies Grupo <strong>Proyfe, Torusware and CyE Control y Estudios,<\/strong> along with the researchers from the ITG technological center, seeks to apply Information Technologies to the Integrated Management of Drinking Water and Sanitation Services under the Big Data paradigm and through Parallelization Strategies. Market restrictions will be taken into account in order to design the best solution.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row height_medium\"><div class=\"l-section-overlay\" style=\"background:var(--color-content-bg-alt)\"><\/div><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_top type_default stacking_default\"><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">[bsf-info-box icon=&#8221;Defaults-thumbs-o-up&#8221; icon_size=&#8221;48&#8243; icon_color=&#8221;#ffffff&#8221; icon_style=&#8221;circle&#8221; icon_color_bg=&#8221;#1e2446&#8243; icon_animation=&#8221;fadeIn&#8221; read_more=&#8221;box&#8221; link=&#8221;url:https%3A%2F%2Fitg.es%2Fcentro-tecnologico%2Facreditaciones%2F%23listado||target:%20_blank|&#8221; pos=&#8221;top&#8221;][\/bsf-info-box]<div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h2>Variety of techniques<\/h2>\n<p>We talk about \u201clarge volumes of data\u201d but, in reality, BigData covers a variety of IT techniques to extract useful information from large volumes of data. Said data is usually poorly structured and extracting the information would not be possible otherwise due to the time and costs it involves. It is our job to choose the most appropriate technique for each case.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">[bsf-info-box icon=&#8221;Defaults-thumbs-o-up&#8221; icon_size=&#8221;48&#8243; icon_color=&#8221;#ffffff&#8221; icon_style=&#8221;circle&#8221; icon_color_bg=&#8221;#1e2446&#8243; icon_animation=&#8221;fadeIn&#8221; read_more=&#8221;box&#8221; link=&#8221;url:https%3A%2F%2Fitg.es%2Fcentro-tecnologico%2Facreditaciones%2F%23listado||target:%20_blank|&#8221; pos=&#8221;top&#8221;][\/bsf-info-box]<div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h2>Useful information<\/h2>\n<p>There is a huge volume of information around us in our personal and professional lives. Databases, files, logs, data from all sorts of sensors, data from social media, news, etc. which contain information that we often consider not to be useful because we think it is irrelevant or because we do not see a clear relationship between the data.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-4 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">[bsf-info-box icon=&#8221;Defaults-bookmark&#8221; icon_size=&#8221;48&#8243; icon_color=&#8221;#ffffff&#8221; icon_style=&#8221;circle&#8221; icon_color_bg=&#8221;#1e2446&#8243; icon_animation=&#8221;fadeIn&#8221; read_more=&#8221;box&#8221; link=&#8221;url:https%3A%2F%2Fitg.es%2Fcentro-tecnologico%2Facreditaciones%2F%23listado||target:%20_blank|&#8221; pos=&#8221;top&#8221;][\/bsf-info-box]<div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><h2>Customization<\/h2>\n<p>The key to designing <strong>BigData architecture<\/strong> is choosing the most appropriate <strong>database<\/strong> (based on documents, key-value, graphs, objects, natural language, etc.) and the <strong>infrastructure<\/strong> on which we will deploy the solution: Hardware On Demand, where the use of virtual machines is increasingly common, and Cloud On Demand, where the architecture is deployed on the cloud.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row image-text height_medium\" id=\"image-text-default\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row via_flex valign_middle type_default reversed stacking_default\"><div class=\"vc_col-sm-6 vc_col-sm-offset-0 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-image align_center\"><a href=\"https:\/\/itg.es\/wp-content\/uploads\/An\u00e1lisis-estrat\u00e9gico-Big-Data-en-Espa\u00f1a.pdf\" aria-label=\"dossier-big-data\" class=\"w-image-h\"><img decoding=\"async\" width=\"311\" height=\"479\" src=\"https:\/\/itg.es\/wp-content\/uploads\/dossier-big-data.png\" class=\"attachment-full size-full\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/itg.es\/wp-content\/uploads\/dossier-big-data.png 311w, https:\/\/itg.es\/wp-content\/uploads\/dossier-big-data-122x188.png 122w, https:\/\/itg.es\/wp-content\/uploads\/dossier-big-data-143x220.png 143w, https:\/\/itg.es\/wp-content\/uploads\/dossier-big-data-260x400.png 260w\" sizes=\"auto, (max-width: 311px) 100vw, 311px\" \/><\/a><\/div><\/div><\/div><\/div><div class=\"vc_col-sm-6 vc_col-sm-offset-0 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><h2 class=\"w-text us_custom_2ee693c5 image-text-title has_text_color icon_atleft\"><a href=\"#\" class=\"w-text-h\"><i class=\"fas fa-square\"><\/i><span class=\"w-text-value\"><strong>Download our report<\/strong> \u201cAnalysis of the Big Data strategy in Spain\u201d<\/span><\/a><\/h2><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><p>Our business development manager, Juan Luis Sobreira Seoane, shared his vision on the opportunities offered by BigData in the report \u201cAnalysis of the Big Data strategy in Spain\u201d, coordinated by the Spanish Technological Platform for ITC (<a href=\"http:\/\/planetic.es\/iniciativa-big-data\" target=\"_blank\" rel=\"noopener noreferrer\">PLANETIC<\/a>).<\/p>\n<\/div><\/div><div class=\"wpb_text_column\"><div class=\"wpb_wrapper\"><p>The goal of this document is to identify and provide solutions for business opportunities related to Big Data. To that end, this report determines the current state of research, infrastructures, the existing technologies and the data sources available in this context.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"Software \/ Industry 4.0 technologies &#8211; Big Data AnalyticsOur work is to find data relationships beyond those considered obvious, and create new value-added information Successful storiesWe bring innovative solutions for the products of companies Geozzy: Big Data to innovate tourism management Based on the browsing data from people visiting a tourism website owned by INNOTO,...","protected":false},"author":2,"featured_media":0,"parent":19674,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"folder":[],"class_list":["post-19677","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Software \/ Industry 4.0 technologies - Big Data Analytics - ITG centro tecnol\u00f3gico | Imagine. 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