{"id":166176,"date":"2023-02-14T10:44:28","date_gmt":"2023-02-14T09:44:28","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166176"},"modified":"2023-10-30T18:29:42","modified_gmt":"2023-10-30T17:29:42","slug":"big-data-definition-technologies-uses-and-training","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/big-data-definition-technologies-uses-and-training","title":{"rendered":"Big Data: Definition, technologies, uses and training"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166176\" class=\"elementor elementor-166176\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d56595f e-flex e-con-boxed e-con\" data-id=\"d56595f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b3f66e8 elementor-widget elementor-widget-text-editor\" data-id=\"b3f66e8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><b>Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need to know about the subject.<\/b><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-164dd5a e-flex e-con-boxed e-con\" data-id=\"164dd5a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d60c51 elementor-widget elementor-widget-heading\" data-id=\"5d60c51\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What is called Big Data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad3099a elementor-widget elementor-widget-text-editor\" data-id=\"ad3099a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Before defining Big Data it is important to understand <\/span><b>what Data is<\/b><span style=\"font-weight: 400;\">. This term defines quantities, characters or symbols that are operated on by a computer. Data can be <\/span><b>stored or transmitted<\/b><span style=\"font-weight: 400;\"> as electrical signals and recorded on a mechanical, optical or magnetic medium.<\/span><\/p><p><span style=\"font-weight: 400;\">The term Big Data refers to large sets of data collected by companies that can be mined and analyzed to <\/span><b>derive actionable information<\/b><span style=\"font-weight: 400;\"> or used for <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\">Machine Learning<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> projects.<\/span><\/p><p><span style=\"font-weight: 400;\">Big Data is often defined by the &#8220;<\/span><b>3 V&#8217;s<\/b><span style=\"font-weight: 400;\">&#8221; that characterize it: the Volume, Variety of data, and the Velocity with which it is <\/span><b>generated, collected and processed<\/b><span style=\"font-weight: 400;\">. This is what differentiates &#8220;Big data&#8221; from traditional data.<\/span><\/p><p><span style=\"font-weight: 400;\">These three characteristics were first identified in 2001 by <\/span><b>Doug Laney<\/b><span style=\"font-weight: 400;\">, an analyst for<\/span><b> Meta Group Inc.<\/b><span style=\"font-weight: 400;\"> and were later popularized by Gartner following its acquisition of Meta Group in 2005. Today, other characteristics are sometimes attributed to Big Data such as <\/span><b>veracity<\/b><span style=\"font-weight: 400;\">, <\/span><b>value<\/b><span style=\"font-weight: 400;\"> and <\/span><b>variability<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">In companies across all industries, systems to process and store Big Data have become indispensable. This is because traditional data management tools are not able to store or process such massive sets.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fa1055f elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"fa1055f\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=UQeyU0YcPKY&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0ee63d elementor-widget elementor-widget-spacer\" data-id=\"e0ee63d\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d2e0bd0 e-flex e-con-boxed e-con\" data-id=\"d2e0bd0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bb299d5 elementor-widget elementor-widget-heading\" data-id=\"bb299d5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Big Data used for?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e63deec elementor-widget elementor-widget-text-editor\" data-id=\"e63deec\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>Companies in all industries are using Big Data<\/b><span style=\"font-weight: 400;\"> in their systems for a variety of purposes. This can include improving operations, providing better customer service, creating personalized marketing campaigns based on consumer preferences, or simply increasing revenue.<\/span><\/p><p><span style=\"font-weight: 400;\">With<\/span><b> Big Data<\/b><span style=\"font-weight: 400;\">, companies can achieve a <\/span><b>competitive advantage<\/b><span style=\"font-weight: 400;\"> over their non-data-driven competitors. They can make faster and more accurate decisions based directly on the information acquired.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">For example, a company can analyze Big Data to uncover valuable information about its customers&#8217; needs and expectations. This information can then be used to <\/span><b>create new products<\/b><span style=\"font-weight: 400;\"> or <\/span><b>targeted marketing campaigns<\/b><span style=\"font-weight: 400;\"> to increase customer loyalty or conversion rates. A company that relies entirely on data to guide its evolution is called &#8220;<\/span><b>data-driven<\/b><span style=\"font-weight: 400;\">&#8220;.<\/span><\/p><p><span style=\"font-weight: 400;\">Big Data is also used in the <\/span><b>field of medical research<\/b><span style=\"font-weight: 400;\">. In particular, it allows the identification of risk factors for diseases, or to make more reliable and accurate diagnoses. Medical data can also be used to anticipate and track potential epidemics.<\/span><\/p><p><span style=\"font-weight: 400;\">Big data is used in almost <\/span><b>every sector <\/b><span style=\"font-weight: 400;\">without exception. The energy industry uses it to <\/span><b>discover potential drilling areas<\/b><span style=\"font-weight: 400;\"> and monitor their operations or the power grid. Financial services use it to manage risk and analyze market data in real time.<\/span><\/p><p><span style=\"font-weight: 400;\">Manufacturers and transportation companies <\/span><b>manage their supply chains<\/b><span style=\"font-weight: 400;\"> and <\/span><b>optimize their delivery routes<\/b><span style=\"font-weight: 400;\"> with data. Similarly, governments are leveraging Big Data for crime prevention or Smart City initiatives.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8431fd7 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"8431fd7\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=JAO_3EvD3DY&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ff4e819 elementor-widget elementor-widget-spacer\" data-id=\"ff4e819\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2715732 e-flex e-con-boxed e-con\" data-id=\"2715732\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b829f59 elementor-widget elementor-widget-heading\" data-id=\"b829f59\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the sources of Big Data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25684f7 elementor-widget elementor-widget-text-editor\" data-id=\"25684f7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Big Data can come from a <\/span><b>wide variety<\/b><span style=\"font-weight: 400;\"> of sources. Common examples include transaction systems, customer databases, and medical records.<\/span><\/p><p><span style=\"font-weight: 400;\">Similarly, Internet user activity generates a myriad of data. Click logs, mobile applications, and social networks capture a lot of information. The <\/span><b>Internet of Things<\/b><span style=\"font-weight: 400;\"> is also a source of data thanks to <\/span><b>their sensors<\/b><span style=\"font-weight: 400;\">, whether they are industrial machines or &#8220;consumer&#8221; connected objects such as bracelets dedicated to sports activity.<\/span><\/p><p><span style=\"font-weight: 400;\">To better understand, here are some concrete examples of <\/span><b>Big Data sources<\/b><span style=\"font-weight: 400;\">. The New York Stock Exchange alone generates about one terabyte of data per day.<\/span><\/p><p><span style=\"font-weight: 400;\">This is huge, but it is nothing compared to <\/span><b>social networks<\/b><span style=\"font-weight: 400;\">. For example, Facebook ingests over 500 terabytes of new data into its <\/span><b>databases<\/b><span style=\"font-weight: 400;\"> every day. This data is mainly generated by photo and video uploads, message exchanges and comments left under posts.<\/span><\/p><p><span style=\"font-weight: 400;\">In just 30 minutes of flight, a single aircraft engine can generate more than <\/span><b>10 terabytes of data<\/b><span style=\"font-weight: 400;\">. As you can see, Big Data is now flowing in from multiple sources and the data is getting bigger and bigger as technology advances\u2026<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2be603 elementor-widget elementor-widget-spacer\" data-id=\"b2be603\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ad5f38 e-flex e-con-boxed e-con\" data-id=\"8ad5f38\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-99814ee elementor-widget elementor-widget-heading\" data-id=\"99814ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the different types of Big Data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7de2be elementor-widget elementor-widget-text-editor\" data-id=\"e7de2be\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Big Data comes from a <\/span><b>variety of sources<\/b><span style=\"font-weight: 400;\">, and can therefore take many forms. There are several main categories.<\/span><\/p><p><span style=\"font-weight: 400;\">When data can be stored and processed in a fixed and well-defined format, it is called <\/span><b>&#8220;structured&#8221; data<\/b><span style=\"font-weight: 400;\">. Thanks to the many advances made in the field of information technology, techniques now make it possible to <\/span><b>work efficiently<\/b><span style=\"font-weight: 400;\"> with this data and to extract all its value.<\/span><\/p><p><span style=\"font-weight: 400;\">However, even structured data can be <\/span><b>problematic<\/b><span style=\"font-weight: 400;\"> because of its massive volume. As the volume of a dataset now reaches several zettabytes, storage and processing represents a real challenge.<\/span><\/p><p><span style=\"font-weight: 400;\">Data with unknown format or structure, on the other hand, is considered &#8220;unstructured&#8221; data. This type of data presents many challenges in terms of processing and exploitation, beyond its massive volume.<\/span><\/p><p><span style=\"font-weight: 400;\">A typical example is a <\/span><b>heterogeneous data source<\/b><span style=\"font-weight: 400;\"> containing a combination of text, image and video files. In the digital and multimedia age, this type of data is <\/span><b>increasingly<\/b><span style=\"font-weight: 400;\"> common. As a result, companies have vast amounts of data at their fingertips, but struggle to take advantage of it because of the <\/span><b>difficulty<\/b><span style=\"font-weight: 400;\"> of processing this unstructured information&#8230;<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, &#8220;<\/span><b>semi-structured<\/b><span style=\"font-weight: 400;\">&#8221; data is halfway between these two categories. For example, it can be data that is structured in terms of format, but not clearly defined within a <\/span><b>database<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Before <\/span><b>unstructured or semi-structured data<\/b><span style=\"font-weight: 400;\"> can be processed and analyzed, it must be <\/span><b>prepared and transformed<\/b><span style=\"font-weight: 400;\"> using various types of data mining or data preparation tools.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b70f2e3 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"b70f2e3\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become Data Analyst with DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8195a38 e-flex e-con-boxed e-con\" data-id=\"8195a38\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8edd799 elementor-widget elementor-widget-heading\" data-id=\"8edd799\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the techniques for analyzing Big Data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0b77d00 elementor-widget elementor-widget-text-editor\" data-id=\"0b77d00\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Different techniques are used to analyze Big Data. Here are some examples.<\/span><\/p><p><b>Benchmarking<\/b><span style=\"font-weight: 400;\">, for example, allows a company to compare the performance of its products and services with those of its competitors. <\/span><b>Marketing analytics<\/b><span style=\"font-weight: 400;\"> is about analyzing data to promote new products and services in a more informed and innovative way.<\/span><\/p><p><b>Sentiment analysis aims to<\/b> <b>evaluate customer satisfaction<\/b><span style=\"font-weight: 400;\"> with a brand, notably by reviews or comments left on the internet. In the same way, social network analysis allows highlighting the reputation of a company based on <\/span><b>what Internet users say<\/b><span style=\"font-weight: 400;\"> about it on the networks. It then becomes possible to identify new target audiences for marketing campaigns.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7c3f2a elementor-widget elementor-widget-spacer\" data-id=\"d7c3f2a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-27053af e-flex e-con-boxed e-con\" data-id=\"27053af\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-538afac elementor-widget elementor-widget-heading\" data-id=\"538afac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How is Big Data processed and stored?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-302e4e8 elementor-widget elementor-widget-text-editor\" data-id=\"302e4e8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The volume, velocity and variety of big data implies<\/span><b> specific IT infrastructure requirements<\/b><span style=\"font-weight: 400;\">. A single server or even a cluster of servers will quickly be overtaxed by Big Data.<\/span><\/p><p><span style=\"font-weight: 400;\">To achieve sufficient processing power, it may be necessary to combine thousands of servers to distribute the <\/span><b>processing work<\/b><span style=\"font-weight: 400;\">. These servers must collaborate within a cluster architecture, often based on dedicated technologies such as <\/span><b>Hadoop<\/b><span style=\"font-weight: 400;\"> or <\/span><b>Apache Spark<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The costs can be <\/span><b>very high<\/b><span style=\"font-weight: 400;\">, which is why many business leaders are reluctant to invest in infrastructure that is suitable for storing and processing Big Data workloads.<\/span><\/p><p><span style=\"font-weight: 400;\">As an alternative, many organizations are turning to the <\/span><b>public cloud<\/b><span style=\"font-weight: 400;\">. Today, it is the preferred solution. That&#8217;s why the growth of <\/span><b>cloud computing<\/b><span style=\"font-weight: 400;\"> has accompanied the growth of Big Data.<\/span><\/p><p><span style=\"font-weight: 400;\">A public cloud provider can <\/span><b>expand its storage capacity unlimitedly<\/b><span style=\"font-weight: 400;\"> according to its customers&#8217; Big Data processing needs. The company pays for the resources it uses. So there are no capacity restrictions, and no unnecessary expenses.<\/span><\/p><p><span style=\"font-weight: 400;\">Among the most widely used <\/span><b>cloud storage solutions<\/b><span style=\"font-weight: 400;\"> for Big Data are Hadoop Distributed File System (HDFS), Amazon Simple Storage Service (S3), or various relational or NoSQL databases.<\/span><\/p><p><span style=\"font-weight: 400;\">Beyond storage, many <\/span><b>public cloud providers<\/b><span style=\"font-weight: 400;\"> offer Big Data processing and analysis services. We can mention Amazon EMR, Microsoft Azure HADInsight or Google Cloud Dataproc.<\/span><\/p><p><span style=\"font-weight: 400;\">However, there are also Big Data solutions designed for <\/span><b>on-premises deployments<\/b><span style=\"font-weight: 400;\">. These solutions generally use open source <\/span><b>Apache technologies<\/b><span style=\"font-weight: 400;\"> in combination with Hadoop and Spark. Examples include the YARN resource manager, the MapReduce programming framework, the Kafka data streaming platform, the HBase database and SQL query engines such as Drill, Hive, Impala or Presto.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68ade3e elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"68ade3e\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=HRfR4dJoKDc&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29e5829 elementor-widget elementor-widget-spacer\" data-id=\"29e5829\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-76fd4f5 e-flex e-con-boxed e-con\" data-id=\"76fd4f5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-03459b0 elementor-widget elementor-widget-heading\" data-id=\"03459b0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How to learn about Big Data?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6f149a elementor-widget elementor-widget-text-editor\" data-id=\"a6f149a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Processing and exploiting Big Data requires mastery of the <\/span><b>various tools and techniques<\/b><span style=\"font-weight: 400;\"> discussed in this report. <\/span><b>These skills are highly soughted<\/b><span style=\"font-weight: 400;\"> by companies in all sectors, as many organizations want to take advantage of the data at their disposal.<\/span><\/p><p><br \/><span style=\"font-weight: 400;\">To learn the different professions of Big Data, you can choose <\/span><b>DataScientest training<\/b> <b>courses<\/b><span style=\"font-weight: 400;\">. We offer different training courses enabling you to quickly become a <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">Data Scientist<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">Data Analyst<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">Data Engineer<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> or <\/span><strong><span style=\"text-decoration: underline;\"><a href=\"https:\/\/datascientest.com\/en\/formation-machine-learning-engineer\">Machine Learning Engineer<\/a><\/span><\/strong><span style=\"font-weight: 400;\">. Don&#8217;t wait any longer and discover our training courses now.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-365cb12 elementor-widget elementor-widget-spacer\" data-id=\"365cb12\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b7630f elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"3b7630f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn more about our training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2343109 e-flex e-con-boxed e-con\" data-id=\"2343109\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-539ad0e elementor-widget elementor-widget-html\" data-id=\"539ad0e\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is Big Data used for?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Companies in all industries are using Big Data in their systems for a variety of purposes. 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This term defines quantities, characters or symbols that [&hellip;]<\/p>\n","protected":false},"author":63,"featured_media":166178,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big Data: Definition, technologies, uses and training<\/title>\n<meta name=\"description\" content=\"Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. 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