{"id":8784,"date":"2026-06-10T08:54:47","date_gmt":"2026-06-10T08:54:47","guid":{"rendered":"https:\/\/www.educa.pro\/moocs\/thick-data-and-big-data\/"},"modified":"2026-06-10T08:54:47","modified_gmt":"2026-06-10T08:54:47","slug":"thick-data-and-big-data","status":"publish","type":"mooc_course","link":"https:\/\/educa.pro\/en\/curso\/thick-data-and-big-data\/","title":{"rendered":"Thick Data and Big Data"},"content":{"rendered":"

Detecting trends, analysing behavioural patterns, getting to know customers better \u2013 these are some of the benefits<\/strong> that Big Data<\/strong> achieves, but it is worth asking whether the information provided by the management and analysis of big data<\/strong> is really enough.<\/p>\n

The mistake made today in many Big Data strategies is to place greater emphasis on quantitative data<\/strong> than to qualitative data<\/strong>. Placing blind faith in numbers whilst avoiding so-called \u2018dense\u2019 and more complex data \u2013 known as \u2018thick data\u2019 \u2013 can prove to be a mistake in the long run.<\/p>\n

Through this training in Thick Data and Big Data, you will acquire the necessary knowledge to make the right decisions in the context in which we find ourselves ourselves<\/strong>.<\/p>","protected":false},"excerpt":{"rendered":"

Big Data can be applied to a wide range of fields and sectors. This training course on Thick Data and Big Data is therefore aimed at anyone interested in learning how to draw relevant conclusions for decision-making by analysing large amounts of information, and how to provide context and added value to this information through Thick Data.<\/p>","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"educalms_repo_code":"AFO028PRN","educalms_repo_id":"4199769","educalms_lang":"en","educalms_duration":"7","educalms_duration_type":"693","educalms_image":"https:\/\/cdn.euroinnova.edu.es\/euroinnova_es\/next-gen-formats-img\/a\/Thick-Data-Y-Big-Data.webp","educalms_tags":"Thick Data, Big Data, massive data, data sources, decision making, internet of things, IoT, Open data, marketing, emotions, extract information, business, qualitative data.","educalms_tittle":"Thick Data and Big Data","educalms_type_of_training":"753","educalms_description":"

Detecting trends, analyzing behavioral patterns, getting to know customers better, these are some of the benefits<\/strong> that Big Data<\/strong> achieves, but it is worth asking whether the information provided by the management and analysis of massive data<\/strong> is really enough.<\/p>

The mistake today in many Big Data strategies is to give more weight to quantitative data<\/strong> than to qualitative data<\/strong>. Putting blind faith in numbers while avoiding the so-called 'dense' and more complex data, called Thick Data can be a mistake in the long run.<\/p>

Through this training in Thick Data and Big Data you will acquire the necessary knowledge to make the right decisions in the context in which we find ourselves<\/strong>.<\/p>","educalms_objectives":"