{"id":4567,"date":"2021-11-08T10:06:00","date_gmt":"2021-11-08T10:06:00","guid":{"rendered":"https:\/\/unihost.com\/blog\/?p=4567"},"modified":"2026-01-09T13:05:06","modified_gmt":"2026-01-09T11:05:06","slug":"big-data","status":"publish","type":"post","link":"https:\/\/unihost.com\/blog\/big-data\/","title":{"rendered":"Big Data: what it is, how to search, store and use"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Big Data is large amounts of data that will be impossible to process or analyze using traditional methods using PCs and human labor. The peculiarity of Big Data lies in the fact that the data array grows over time, so huge computing power will be needed. To process this data, it is necessary to use innovative methods of information processing.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">How do you know if the data is big data? First of all, it is necessary to pay attention to the properties of information. Big data is characterized by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Volume (about 1 Petabyte);<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Velocity (possibility of regular updates);<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Variety (data is not structured or has heterogeneous formats).<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Also, Variability (variability) is often added to the listed factors &#8211; data bursts that require the use of specific technologies for processing. You also need to take into account Value &#8211; the various complexity of information. Let&#8217;s give an example. The data of users of social networks and transactions carried out in the banking system have different levels of complexity.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How Big Data is collected<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">You can collect big data from such sources: the Internet, corporate data, devices that collect information (&#8220;smart speakers&#8221;, etc.). The data collection process is called data mining and is carried out using the following services:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vertica;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tableau;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Power BI;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Qlik.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Information is collected in the formats text, Excel tables, SAS. During the search, the system finds Petabytes of information, which is further processed using intelligent analysis methods that reveal patterns. These include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">neural networks;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">algorithms for detecting associative links;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">clustering algorithms;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">some of the machine learning methods.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">How does big data processing look like in practice? Let&#8217;s look at the process step by step:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The analytic program receives the task.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The system collects the necessary information, deletes irrelevant information, and also performs decoding.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A model or analysis algorithm is selected.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Using the selected algorithm, the program analyzes the found patterns.<\/span><\/li>\n<\/ol>\n<h2><span style=\"font-weight: 400;\">How Big Data is stored<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Storing large amounts of data most often occurs in the data lake. At the same time, they are stored in different formats and degrees of structuredness:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Structural &#8211; rows and columns from the database.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Unstructured &#8211; documents, mail messages.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Semi-structured &#8211; CSV, XML, JSON files.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Binary &#8211; video, audio messages, images.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">How to store large amounts of data? For this, various tools are used, first of all &#8211; Hadoop. It is a data management platform containing multiple clusters. It is used to process, store, and analyze large amounts of data, such as internet traffic data, messages and images on social networks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also, big data storage is often associated with other tools:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">HPPC (DAS). A supercomputer developed by LexisNexis Risk Solutions. Capable of processing data in batch mode and in real time.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storm. A framework developed in Clojure. Designed for processing information in real time.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Considering the issue of big data storage systems, we once again focus on the data lake. It is not exclusively a repository, as it may include a software platform. First of all, we are talking about means of integration with sources and consumers of information, clusters of storage servers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data lake stores large amounts of information, which are sent from there to sandboxes (data mining areas). At this stage, scenarios are developed to solve specific business problems. Note that processing big data will require huge computing power, therefore, it is advisable to use network storage. This is the best option for storing large amounts of information. Let&#8217;s list its most important advantages:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The ability to store huge data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cost effective for businesses with rapidly growing workloads or companies where various hypotheses are regularly tested.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">How Big Data is used<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Above, we examined how and where to store large amounts of data. Now let&#8217;s talk about the features of working with big data. After receiving and saving the data, they must be analyzed and compiled into graphs, tables, ready-made algorithms that will be understandable to the client.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this case, it is necessary:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Process the entire data array.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Find correlations throughout the data set.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Process and analyze all the information received in real time.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">In connection with the above, special technologies and methods of working with big data are used. Let&#8217;s consider them in more detail. The most popular technologies include:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MapReduce is a parallel computing framework that handles indefinitely structured data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">NoSQL &#8211; Solves scalability and availability issues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Hadoop &#8211; serves for the development and execution of distributed programs running on clusters of hundreds and thousands of nodes.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">There are a lot of methods and tools for working with big data. These include mining, machine learning, predictive analytics, visualization, and simulation. There are a lot of methods as of today:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">digital signal processing;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">predictive analytics;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">simulation modeling;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">spatial and statistical analysis;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">visualization of analytical data.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Working with big data also involves human participation. A Data Engineer, is a specialist who prepares the infrastructure for further work. He tests, develops and maintains databases and media systems. Also, one of the main tasks of a Data Engineer is to create a data processing pipeline.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Big Data necessarily works with Data Scientist, who creates and trains predictive models using neural networks and machine learning algorithms. It is he who helps the business find hidden patterns, predict the development of events, and optimize processes. Having got an idea of how to work with big data, where it is used, let&#8217;s look at it now.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Where Big Data is used<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Where and how to use big data? The main principle of application is to quickly provide the user with information about objects, phenomena, events. Therefore, machines are able to build variable models and track results. This is primarily useful for commercial companies, such as banks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is the use of big data that helps prevent fraud, as well as optimize risk management. Big data is often used for scoring aimed at establishing the fact of a borrower&#8217;s trustworthiness or unreliability.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Thus, banks can effectively resist fraudulent schemes thanks to big data. Where is big data used in the banking sector? With its help you can:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">identify customer needs;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">reduce the risk of loan default;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">predict queues in branches;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">manage staff.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Speaking about big data, how to use it effectively in business, let&#8217;s consider. First of all, the choice of a business development strategy is based on the results of information analysis. Therefore, big data will help process huge amounts of data and identify which products will be in demand in the market, how to increase loyalty of regular customers and attract new ones.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Let&#8217;s take a look at big data use on the example of Netflix, which has a multimillion audience. In his work, he draws on the user experience of viewers and information from social networks, offering relevant content.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To optimize Netflix uses: browsing history, user&#8217;s search queries, information about pauses, rewinds, repeated views. When the House of Cards series was launched, based on the analysis, they ordered not a pilot, but two full seasons, and they were not mistaken! The series about political intrigue in the White House delighted the audience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Where else is big data used? In marketing, of course! Through data analysis, marketers identify customer needs and test new ways to increase customer loyalty. Services (software) for big data can successfully solve many problems:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">RTB is suitable for setting up retargeting in order to advertise products and services only to the target audience.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Crossss, Alytics, 1C-Bitrix BigData are irreplaceable assistants for end-to-end analytics. Their competent use will help to increase the average check, increase the personalization of ads and increase the conversion of offers.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">Conclusion<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The outlook for Big Data today is impressive. With the help of big data, you can recognize fraud, design and run effective advertising campaigns. The development of Big data contributes to the deep implementation of artificial intelligence, as well as the transition to cloud services and platforms for independent work.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By the way, you can <\/span><a href=\"https:\/\/unihost.com\/dedicated\/bigdata\/\" rel=\"nofollow\"><span style=\"font-weight: 400;\">order a Big Data server <\/span><\/a><span style=\"font-weight: 400;\">and <\/span><a href=\"https:\/\/unihost.com\/nas\/\" rel=\"nofollow\"><span style=\"font-weight: 400;\">network data storage rental<\/span><\/a><span style=\"font-weight: 400;\"> from Unihost on the most favorable terms. In order to contact a specialist, use the chat on the site. We invite you to cooperate that will help your business flourish!<\/span><!--themify_builder_content-->\n<div id=\"themify_builder_content-4567\" data-postid=\"4567\" class=\"themify_builder_content themify_builder_content-4567 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row tb_t2nn492 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_imt9493 first\">\n                    <!-- module template_part -->\n<div  class=\"module module-layout-part tb_9g25598 \">\n    <\/div>\n<!-- \/module template_part -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Big Data is large amounts of data that will be impossible to process or analyze using traditional methods using PCs and human labor. The peculiarity of Big Data lies in the fact that the data array grows over time, so huge computing power will be needed. To process this data, it is necessary to use [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":4552,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-4567","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big Data: what it is, how to search, store and use - Unihost.com Blog<\/title>\n<meta name=\"description\" content=\"Big data storage \u25b6 \ufe0fSearching and using Big Data \u25b6 \ufe0f A detailed analysis of the issue in the blog of the Unihost company!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/unihost.com\/blog\/big-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data: what it is, how to search, store and use - 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