{"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, 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>\n

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>\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<\/strong>.<\/p>","protected":false},"excerpt":{"rendered":"

Big Data can be applied to a multitude of fields and work sectors. Therefore, this training on Thick Data and Big Data is aimed at anyone interested in learning how relevant conclusions can be drawn for decision making thanks to an analysis of large amounts of information and how to give them context and added value 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":"