{"id":18,"date":"2024-04-08T16:15:13","date_gmt":"2024-04-08T16:15:13","guid":{"rendered":"http:\/\/localhost\/wordpress\/?p=18"},"modified":"2024-06-25T14:18:40","modified_gmt":"2024-06-25T14:18:40","slug":"understanding-enterprise-data-lakes-a-brief-introduction","status":"publish","type":"post","link":"http:\/\/13.90.168.50\/ssblogs\/index.php\/understanding-enterprise-data-lakes-a-brief-introduction\/data\/","title":{"rendered":"Understanding Enterprise Data Lakes: A Brief Introduction"},"content":{"rendered":"<span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span><p><style>\r\n#site-navigation {\r\n        background-image: none !important;\r\n    height: 0px !important;\r\n    padding: 0 !important;\r\n}\r\n\r\n.site-title {\r\n    display: none;\r\n}\r\n\r\n.site-description {\r\n    display: none;\r\n}\r\n<\/style><\/p>\r\n\r\n<p>Today, industries and enterprises are dealing with massive amounts of data. Businesses must increase their data-management infrastructures quickly to keep up with the sheer amount of data. Multi-cloud, advanced data applications, and data-first architecture have ignited the need for enterprise data lakes. An agile data-lake development approach can help enterprises accelerate analytics strategy faster to derive valuable insights for achieving business goals. The blog post outlines the benefits of an enterprise data lake implementation for your organization.<\/p>\r\n\r\n\r\n\r\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" class=\"wp-image-4283\" src=\"https:\/\/insights.scalableai.com\/wp-content\/uploads\/2023\/07\/Enterprise_Data_Lake_What_and_Why_is_itimportant-1024x576.jpg\" alt=\"\" \/><\/figure>\r\n\r\n\r\n\r\n<h3><strong>What is an enterprise data lake (EDL)?<\/strong><\/h3>\r\n\r\n\r\n\r\n<p>Data Lake is a reliable and scalable data management solution. All structured, semi-structured, unstructured, and binary data are stored in an enterprise data lake. Not just storing data, organizations can profile, cleanse, transform, model, and create data pipelines to meet specific functional and technological requirements. The end goal is-<\/p>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li>Breaking down the data silos<\/li>\r\n\r\n\r\n\r\n<li>Adapting to the evolving data requirements\u00a0<\/li>\r\n\r\n\r\n\r\n<li>Achieve faster analytics<\/li>\r\n\r\n\r\n\r\n<li>Develop real-time data-driven applications<\/li>\r\n\r\n\r\n\r\n<li>Quick integration of disparate data sources and formats<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<h3><strong>How does EDL function?\u00a0<\/strong><\/h3>\r\n\r\n\r\n\r\n<p>The EDL centrally collects data from different sources in the raw format; however, the required data for analysis will only be pulled in, parsed, cleaned, and transformed with the additional processed data going to the EDL. It creates a loop where the raw data goes to the lake for processing and analysis while the processed data comes into the lake for further analysis. Organizations should follow an agile approach to the design and development of data lakes before pushing to the implementation stage. Research the wide range of technologies, testing methodologies, development iterations, and fine-tuning before employing EDL for data collection and storage.<\/p>\r\n\r\n\r\n\r\n<h3><strong>Comparing Data Lake and Data Warehouse<\/strong><\/h3>\r\n\r\n\r\n\r\n<p>Data lakes and warehouses store data, but each has specific storage capabilities. Both can be employed depending on the emerging scenario or functional needs. For example, a data warehouse demands a defined schema to deliver specific analytic requirements for business intelligence tasks like dashboards and data visualizations. Data warehouse works suitably for businesses requiring reporting outputs regularly but collects only structured data from transactional databases. On the other hand, data lakes can collect both structured and unstructured data. Data warehouses tend to perform efficiently, but it\u2019s expensive, while Data lakes are slower in returning query results and are more affordable.<\/p>\r\n\r\n\r\n\r\n<h3><strong>What are the benefits of an enterprise data lake?<\/strong><\/h3>\r\n\r\n\r\n\r\n<ul class=\"wp-block-list\">\r\n<li>Democratize Data<\/li>\r\n\r\n\r\n\r\n<li>Collect better-quality data<\/li>\r\n\r\n\r\n\r\n<li>Data in native format<\/li>\r\n\r\n\r\n\r\n<li>Scalable and Cost-savings<\/li>\r\n\r\n\r\n\r\n<li>Advanced Analytics<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<h3><strong>Building a modern enterprise data lake<\/strong><\/h3>\r\n\r\n\r\n\r\n<p>Enterprises must follow an agile process and move beyond hiring technological expertise. A successful enterprise data lake strategy needs every stakeholder from business, governance, and IT to work together. One must outline clear expectations, a proper implementation plan, rigorous testing, and monitoring before embarking on the data lake process.\u00a0\u00a0 An enterprise data lake can bring valuable analytics for faster time-to-market while lowering the cost and complexity of managing data at the same time. The storage capacity of data lakes is ideal for collecting enterprise data.<\/p>\r\n\r\n\r\n\r\n<p>&nbsp;<\/p>\r\n\r\n\r\n\r\n<p><a style=\"color: #d7212a; font-size: 14px;\" href=\"https:\/\/scalableai.com\/whitepaper\/Scalable_AI_Enterprises_Data_Lake_WP.pdf\" target=\"_blank\" rel=\"noopener\">Read Whitepaper <span class=\"break\">Enterprise Data Lake for Faster &amp; Quality Data Access<\/span><\/a><\/p>\r\n\r\n\r\n\r\n<div class=\"getin-touch\">\r\n<div class=\"container\">\r\n<div class=\"row\">\r\n<div class=\"col-10 mx-auto\">\r\n<div class=\"get-box\">\r\n<h1>Want Better Data, Smarter AI, and Faster Decisions? Talk to us today!<\/h1>\r\n<a href=\"http:\/\/123.63.97.202:81\/Scalablesystems\/contact.aspx\" target=\"_blank\" rel=\"noopener\">Get in Touch<\/a><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n","protected":false},"excerpt":{"rendered":"<p><span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span> Today, industries and enterprises are dealing with massive amounts of data. Businesses must increase their data-management infrastructures quickly to keep up with the sheer amount&hellip; <a class=\"continue\" href=\"http:\/\/13.90.168.50\/ssblogs\/index.php\/understanding-enterprise-data-lakes-a-brief-introduction\/data\/\">Continue Reading<span> Understanding Enterprise Data Lakes: A Brief Introduction<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-18","post","type-post","status-publish","format-standard","hentry","category-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Understanding Enterprise Data Lakes: A Brief Introduction - Scalable Systems Blogs<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"http:\/\/13.90.168.50\/ssblogs\/index.php\/understanding-enterprise-data-lakes-a-brief-introduction\/data\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Understanding Enterprise Data Lakes: A Brief Introduction - Scalable Systems Blogs\" \/>\r\n<meta property=\"og:description\" content=\"Reading Time: 2 minutes Today, industries and enterprises are dealing with massive amounts of data. 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