{"id":147049,"date":"2023-10-26T14:34:12","date_gmt":"2023-10-26T07:34:12","guid":{"rendered":"https:\/\/it.telkomuniversity.ac.id\/big-data-vs-data-warehouse\/"},"modified":"2024-02-28T13:55:38","modified_gmt":"2024-02-28T06:55:38","slug":"big-data-vs-data-warehouse","status":"publish","type":"post","link":"https:\/\/it.telkomuniversity.ac.id\/en\/big-data-vs-data-warehouse\/","title":{"rendered":"Big Data Vs Data Warehouse, Know the Difference Between the Two"},"content":{"rendered":"<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>Even though the journey has the same goal,\u00a0<\/span><a href=\"https:\/\/telkomuniversity.ac.id\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span>big data vs data warehouse<\/span><\/a><span>\u00a0has quite prominent differences.\u00a0<\/span><strong><span>Big data vs data warehouse<\/span><\/strong><span> aims to provide business value through data analysis. However, both have different scopes.\u00a0To understand both, you need further explanation as below.\u00a0<\/span><\/p>\n<figure class=\"wp-block-image size-large\" style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-143384\" src=\"https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-1024x576.jpg\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-1024x576.jpg 1024w, https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-300x169.jpg 300w, https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-768x432.jpg 768w, https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-1536x864.jpg 1536w, https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-2048x1152.jpg 2048w, https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2024\/01\/Big-Data-255x143.jpg 255w\" alt=\"Big Data Vs Data Warehouse\" width=\"1024\" height=\"576\" \/><figcaption class=\"wp-element-caption\"><span>Big Data<\/span><\/figcaption><\/figure>\n<p style=\"text-align: justify;\">\u00a0<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_61 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\" style=\"text-align: justify;\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \"><span>Table of Contents<\/span><\/p>\n<\/div>\n<nav><\/nav>\n<\/div>\n<h2 class=\"wp-block-heading\" style=\"text-align: justify;\"><span id=\"Big_Data_Vs_Data_Warehouse_Ini_Dia_Definisi_dan_Perbedaannya\" class=\"ez-toc-section\"><\/span><span>Big Data Vs Data Warehouse?\u00a0Here are the definitions and differences\u00a0<\/span><\/h2>\n<figure class=\"wp-block-image aligncenter size-full is-resized\" style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-138508\" src=\"https:\/\/it.telkomuniversity.ac.id\/wp-content\/uploads\/2023\/10\/image-7.png\" alt=\"Difference between Big Data and Data Warehouse\n\" width=\"208\" height=\"97\" \/><\/figure>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>A data warehouse is a database created specifically to carry out query processes, analysis and creating reports.\u00a0<\/span><span>This stored data is business history data from a company or organization where this data is not stored in detail.\u00a0<\/span><\/p>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>So, data can last longer.\u00a0This will be different from\u00a0<\/span><em><span>Online Transaction Processing<\/span><\/em><span>\u00a0aka OLTP data which is stored until the process runs completely.\u00a0<\/span><span>Data sources in a data warehouse come from various types of software, platforms, different networks and formats.\u00a0\u00a0<\/span><\/p>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>This data is the result of the organization&#8217;s or company&#8217;s daily transaction processes.\u00a0Because the sources are different, data must be stored in a standard format.\u00a0<\/span><span>The four main characteristics of a data warehouse are\u00a0<\/span><em><span>integrated, non-volatile, subject oriented,<\/span><\/em><span>\u00a0and\u00a0<\/span><em><span>time variant<\/span><\/em><span>\u00a0.\u00a0<\/span><\/p>\n<h2 style=\"text-align: justify;\"><span>So What is Big Data?\u00a0<\/span><\/h2>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>In the discussion of\u00a0<\/span><strong><span>big data vs data warehouse<\/span><\/strong><span>\u00a0, big data is a large-scale collection of data that cannot be processed with ordinary conventional tools.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span>Therefore, this process requires new tools to obtain value from the data obtained.\u00a0\u00a0<\/span><span>The method is by\u00a0<\/span><em><span>clustering<\/span><\/em><span>\u00a0, stored in data warehouses and partitions.\u00a0<\/span><span>Along the way, big data has three supporting dimensions that are known to the public.\u00a0Namely,\u00a0<\/span><em><span>Velocity, Volume<\/span><\/em><span>\u00a0and also\u00a0<\/span><em><span>Variety<\/span><\/em><span>\u00a0.\u00a0<\/span><\/p>\n<h2 class=\"wp-block-heading\" style=\"text-align: justify;\"><span id=\"Perbedaan_Mencolok_dari_Big_Data_Dan_Data_Warehouse\" class=\"ez-toc-section\"><\/span><span>Striking Differences between Big Data and Data Warehouse\u00a0<\/span><\/h2>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>In summary, if a data warehouse has a data storage architecture (data repository), then Big Data is the technology that handles and prepares this repository.\u00a0<\/span><\/p>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>Data warehouse accepts limited DBMS data while Big data accepts almost all types of data.\u00a0Including social media data, DBMS, machine data to transactional data.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span>Data warehouses are suitable for processing structured data, while Big Data is generally more suitable for processing large and complex data.<\/span><\/p>\n<p style=\"text-align: justify;\"><span>Data warehouse focuses on historical data or business needs, while big data focuses on storing data.<\/span><\/p>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>Big data handles structural, semi-structural and non-structural data, while data warehouses only handle relational and irrational structural data.\u00a0<\/span><\/p>\n<p class=\"has-text-align-justify\" style=\"text-align: justify;\"><span>That&#8217;s a brief review of\u00a0<\/span><strong><span>big data vs data warehouse<\/span><\/strong><span>\u00a0.\u00a0Hopefully this information can broaden your insight.\u00a0<\/span><\/p>\n<h2 class=\"wp-block-heading\" style=\"text-align: justify;\"><span id=\"Referensi\" class=\"ez-toc-section\"><\/span><span>Reference<\/span><\/h2>\n<h2 class=\"wp-block-heading\" style=\"text-align: justify;\"><a class=\"ek-link\" style=\"font-size: 16px;\" href=\"https:\/\/www.w2ssolutions.com\/blog\/big-data-vs-data-warehouse\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"(opens in a new tab)\">https:\/\/www.w2ssolutions.com\/blog\/big-data-vs-data-warehouse\/<\/a><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>Even though the journey has the same goal,\u00a0big data vs data warehouse\u00a0has quite prominent differences.\u00a0Big data vs data warehouse aims to provide business value through data analysis. However, both have different scopes.\u00a0To understand both, you need further explanation as below.\u00a0 Big Data \u00a0 Table of Contents Big Data Vs Data Warehouse?\u00a0Here are the definitions and [&hellip;]<\/p>\n","protected":false},"author":32,"featured_media":138513,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"wds_primary_category":761,"footnotes":""},"categories":[761,182],"tags":[1517,2070,1447,1811,2071],"class_list":["post-147049","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data-en","category-blogs-en","tag-analytics","tag-bigdata-en","tag-cloudcomputing","tag-dataanalysis-en","tag-datamanagement-en"],"blocksy_meta":[],"gutentor_comment":0,"_links":{"self":[{"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/posts\/147049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/users\/32"}],"replies":[{"embeddable":true,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/comments?post=147049"}],"version-history":[{"count":0,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/posts\/147049\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/media\/138513"}],"wp:attachment":[{"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/media?parent=147049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/categories?post=147049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/it.telkomuniversity.ac.id\/en\/wp-json\/wp\/v2\/tags?post=147049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}