{"id":20874,"date":"2024-09-18T12:19:26","date_gmt":"2024-09-18T12:19:26","guid":{"rendered":"https:\/\/dev2.antsolutions.eu\/?p=20874"},"modified":"2025-11-28T12:50:44","modified_gmt":"2025-11-28T12:50:44","slug":"data-warehouse-vs-data-lake-cuales-son-las-diferencias","status":"publish","type":"post","link":"https:\/\/dev2.accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/","title":{"rendered":"Almac\u00e9n de datos frente a lago de datos, \u00bfcu\u00e1les son las diferencias?\u00a0"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"20874\" class=\"elementor elementor-20874\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e85aeab e-flex e-con-boxed e-con e-parent\" data-id=\"6e85aeab\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2639dd84 elementor-widget elementor-widget-text-editor\" data-id=\"2639dd84\" data-element_type=\"widget\" data-e-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\t\t<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><strong>Data lakes are vast repositories for raw, unstructured data, offering flexibility and scalability for storing large volumes of information. They are ideal for exploration and potential future use cases.\u00a0\u00a0\u00a0<\/strong>\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><strong>Data warehouses are structured repositories for processed data, optimized for querying and analysis. They are designed for business intelligence and reporting, providing a single source of truth for decision-making.\u00a0\u00a0\u00a0<\/strong>\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li><strong>Both data lakes and data warehouses have their strengths and weaknesses. Often, a hybrid approach is beneficial, where raw data is initially stored in a data lake for exploration, and then carefully selected data is moved to a data warehouse for advanced analytics and reporting.<\/strong>\u00a0<\/li>\n<\/ul>\n<div>\u00a0<\/div>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h2><strong>Data Lakes and Data Warehouses: Cornerstones of Modern Manufacturing<\/strong>\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">The manufacturing industry is undergoing a data revolution. With advancements in technology, factories are generating unprecedented volumes of data from machines, sensors, and operations. To harness this data and drive operational efficiency, innovation, and decision-making, manufacturers are increasingly turning to data lakes and data warehouses.\u00a0<\/p>\n<p>\u00a0<\/p>\n<figure id=\"attachment_20929\" aria-describedby=\"caption-attachment-20929\" style=\"width: 1024px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-20929 size-large\" src=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-1024x525.png\" alt=\"\" width=\"1024\" height=\"525\" title=\"\" srcset=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-1024x525.png 1024w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-300x154.png 300w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-768x393.png 768w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-1536x787.png 1536w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-2048x1049.png 2048w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Obraz4-1-18x9.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption id=\"caption-attachment-20929\" class=\"wp-caption-text\">Data is stored in Data Lake in unorganised structure where after processing goes to Data Warehouse. EDP Scheme.<\/figcaption><\/figure>\n<div><br \/>\u00a0\n<p><\/p>\n<p><\/p>\n<h3>Data Lake: A Raw Data Reservoir\u00a0<\/h3>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">A data lake is a centralized repository that stores vast amounts of raw data in its native format. Unlike a data warehouse, which focuses on structured data and business intelligence, a data lake is designed to hold a variety of data types, including structured, semi-structured, and unstructured data.\u00a0\u00a0\u00a0\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h3>Key Characteristics of a Data Lake\u00a0<\/h3>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Raw data storage: Data is stored in its original format without any initial processing or transformation.\u00a0\u00a0\u00a0\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul>\n<li><b>Escalabilidad<\/b>: It can handle massive volumes of data, growing as needed.\u00a0\u00a0\u00a0\u00a0<\/li>\n<li><b>Variety<\/b>: Accommodates diverse data types, from text and images to videos and sensor data.\u00a0\u00a0\u00a0\u00a0<\/li>\n<li><b>Velocity<\/b>: Enables rapid ingestion of data from various sources.\u00a0\u00a0\u00a0\u00a0<\/li>\n<li><b>Flexibility<\/b>: Supports multiple analytics tools and use cases.\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<h2>Data Warehouse, what is it?\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">On the other hand, a <strong>almac\u00e9n de datos<\/strong> is a centralized repository that stores integrated data from multiple sources for analysis and reporting. In manufacturing conditions, implementing a data warehouse offers several benefits:\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Improved Decision-Making<\/strong>: Enables better decision-making by providing access to real-time and historical data for analysis.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Enhanced Efficiency<\/strong>: Streamlines data management processes, reducing time spent on data collection and preparation.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Increased Visibility<\/strong>: Offers a comprehensive view of operations, facilitating better monitoring and control.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Data Quality<\/strong>: Enhances data quality through data cleansing and integration processes.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Reducci\u00f3n de costes<\/strong>: Helps in identifying cost-saving opportunities and optimizing resource allocation.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Predictive Analytics<\/strong>: Supports predictive analytics and forecasting to anticipate trends and make proactive decisions.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h2>Data Lake vs. Data Warehouse\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><strong>Data Lake:<\/strong>\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Definition<\/strong>: A data lake is a vast pool of raw data, often unstructured, that allows for flexible exploration and analysis.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Characteristics<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Data Type<\/em>: Raw, unstructured, and diverse data sources.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Usage<\/em>: Ideal for storing large volumes of data in its native format for future processing.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Flexibility<\/em>: Supports various data types and formats without predefined schemas.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Pros<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Escalabilidad<\/em>: Can handle massive amounts of data.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Flexibility<\/em>: Accommodates diverse data types and formats.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Cons<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Complexity<\/em>: Requires careful data governance and management.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><strong>Data Warehouse:<\/strong>\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Definition<\/strong>: A data warehouse is a structured repository for processed and organized data used for reporting and analysis.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Characteristics<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Data Type<\/em>: Structured, processed data optimized for querying and analysis.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Usage<\/em>: Designed for business intelligence and decision-making processes.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Schema<\/em>: Data is organized into predefined schemas for quick access.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Pros<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Rendimiento<\/em>: Optimized for fast query processing.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Consistency<\/em>: Provides a single source of truth for reporting.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><strong>Cons<\/strong>:\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul><\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><em>Escalabilidad<\/em>: May face challenges with handling unstructured or large volumes of data.\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><\/p>\n<p><\/p>\n<p><\/p>\n<h3><strong>Comparison to Data Warehouse<\/strong>\u00a0<\/h3>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">While both data lakes and data warehouses store data, their purposes and approaches differ:\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<figure class=\"wp-block-table\">\n<table>\n<tbody>\n<tr>\n<td><strong>Caracter\u00edstica<\/strong>\u00a0<\/td>\n<td><strong>Data Lake<\/strong>\u00a0<\/td>\n<td><strong>Almac\u00e9n de datos<\/strong>\u00a0<\/td>\n<\/tr>\n<tr>\n<td>Data\u00a0<\/td>\n<td>Raw, unstructured, semi-structured\u00a0<\/td>\n<td>Structured, processed\u00a0<\/td>\n<\/tr>\n<tr>\n<td>Enfoque\u00a0<\/td>\n<td>Variety and volume\u00a0<\/td>\n<td>Analysis and reporting\u00a0<\/td>\n<\/tr>\n<tr>\n<td>Access\u00a0<\/td>\n<td>Direct access for exploration\u00a0<\/td>\n<td>Optimized for queries\u00a0<\/td>\n<\/tr>\n<tr>\n<td>Cost\u00a0<\/td>\n<td>Lower upfront costs, higher processing costs\u00a0<\/td>\n<td>Higher upfront costs, lower processing costs\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<p><\/p>\n<p><\/p>\n<h3>How data lake and data warehouse work together?\u00a0<\/h3>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">While data lakes and data warehouses serve distinct purposes, they are often complementary. Many organizations adopt a hybrid approach, using a data lake for initial data ingestion and exploration, and then moving carefully curated data to a data warehouse for advanced analytics and reporting. By effectively combining these two approaches, manufacturers can unlock the full potential of their data, driving operational excellence and gaining a competitive edge.\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h3>When to consider data lake and data warehouse?\u00a0<\/h3>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\"><strong>Deciding between a data lake and a data warehouse often hinges on the specific needs of a manufacturing organization.<\/strong> If you require a flexible, cost-effective solution to store vast amounts of raw, unstructured data for exploratory analysis and potential future use cases, a data lake is the ideal choice. However, if your primary focus is on providing rapid, consistent, and reliable access to structured data for business intelligence and reporting, a data warehouse is more suitable. In many cases, a hybrid approach combining both solutions offers the best of both worlds, allowing manufacturers to store and process data efficiently while supporting various analytical needs.\u00a0<\/p>\n<p><\/p>\n<p><\/p>\n<h2>What\u2019s next?\u00a0<\/h2>\n<p class=\"wp-block-paragraph\"><\/p>\n<p><\/p>\n<p class=\"wp-block-paragraph\">Data lakes and data warehouses are essential components of an Enterprise Data Platform (EDP). However, they represent only part of this comprehensive architecture. An EDP integrates various data sources, processes, and technologies to create a unified platform for data-driven decision making. To fully understand the power of an EDP, explore the following chapters for a deeper dive into its <a href=\"https:\/\/dev2.accevo.com\/es\/blog\/analisis-de-datos-de-fabricacion-analisis-de-datos-empresariales\/\">data analytics.<\/a>\u00a0<\/p>\n<p><\/p>\n<\/div>\t\t\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\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fa06949 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fa06949\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9d77408\" data-id=\"9d77408\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6937d81 elementor-widget elementor-widget-heading\" data-id=\"6937d81\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">M\u00e1s informaci\u00f3n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fa0b8a1 elementor-grid-3 elementor-grid-tablet-2 elementor-grid-mobile-1 elementor-posts--thumbnail-top elementor-card-shadow-yes elementor-posts__hover-gradient elementor-widget elementor-widget-posts\" data-id=\"fa0b8a1\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;cards_columns&quot;:&quot;3&quot;,&quot;cards_columns_tablet&quot;:&quot;2&quot;,&quot;cards_columns_mobile&quot;:&quot;1&quot;,&quot;cards_row_gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:35,&quot;sizes&quot;:[]},&quot;cards_row_gap_laptop&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;cards_row_gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"posts.cards\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-posts-container elementor-posts elementor-posts--skin-cards elementor-grid\" role=\"list\">\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20878 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-1024x576.jpg\" class=\"attachment-large size-large wp-image-24797\" alt=\"\" srcset=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-1024x576.jpg 1024w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-300x169.jpg 300w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-768x432.jpg 768w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-1536x864.jpg 1536w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs-18x10.jpg 18w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Methods-of-Data-Integration-and-Preparation-in-a-Factory-Setting-gs.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/dev2.accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" >\n\t\t\t\tM\u00e9todos de integraci\u00f3n y preparaci\u00f3n de datos en una f\u00e1brica\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Los datos son la clave En el sector de la fabricaci\u00f3n, los datos proceden de multitud de fuentes, como equipos de producci\u00f3n, sensores, sistemas ERP y control de calidad.<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/methods-of-data-integration-and-preparation-in-a-factory-setting\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Methods of Data Integration and Preparation in a Factory Setting\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20874 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-1024x576.jpg\" class=\"attachment-large size-large wp-image-24799\" alt=\"\" srcset=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-1024x576.jpg 1024w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-300x169.jpg 300w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-768x432.jpg 768w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-1536x864.jpg 1536w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs-18x10.jpg 18w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/Data-warehouse-vs-data-lake-gs.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/dev2.accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" >\n\t\t\t\tAlmac\u00e9n de datos frente a lago de datos, \u00bfcu\u00e1les son las diferencias?\u00a0\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>Lagos y almacenes de datos: Piedras angulares de la fabricaci\u00f3n moderna La industria manufacturera est\u00e1 experimentando una revoluci\u00f3n de datos. Con los avances tecnol\u00f3gicos, las f\u00e1bricas est\u00e1n generando datos sin precedentes.<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/data-warehouse-vs-data-lake-what-are-the-differences\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Data warehouse vs data lake, what are the differences?\u00a0\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<article class=\"elementor-post elementor-grid-item post-20877 post type-post status-publish format-standard has-post-thumbnail hentry category-blog tag-industry40\" role=\"listitem\">\n\t\t\t<div class=\"elementor-post__card\">\n\t\t\t\t<a class=\"elementor-post__thumbnail__link\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" tabindex=\"-1\" ><div class=\"elementor-post__thumbnail\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-1024x576.jpg\" class=\"attachment-large size-large wp-image-24798\" alt=\"\" srcset=\"https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-1024x576.jpg 1024w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-300x169.jpg 300w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-768x432.jpg 768w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-1536x864.jpg 1536w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1-18x10.jpg 18w, https:\/\/dev2.accevo.com\/wp-content\/uploads\/2024\/09\/MANUFA1.jpg 1920w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\"><\/div><\/a>\n\t\t\t\t<div class=\"elementor-post__badge\">Blog<\/div>\n\t\t\t\t<div class=\"elementor-post__text\">\n\t\t\t\t<h3 class=\"elementor-post__title\">\n\t\t\t<a href=\"https:\/\/dev2.accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" >\n\t\t\t\tAn\u00e1lisis de datos de fabricaci\u00f3n - Descubrir informaci\u00f3n con una plataforma de datos empresarial\t\t\t<\/a>\n\t\t<\/h3>\n\t\t\t\t<div class=\"elementor-post__excerpt\">\n\t\t\t<p>An\u00e1lisis de datos de fabricaci\u00f3n: Unlocking Insights with an Enterprise Data Platform La fabricaci\u00f3n est\u00e1 experimentando una transformaci\u00f3n digital, impulsada por las enormes cantidades de datos generados a trav\u00e9s de<\/p>\n\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-post__read-more-wrapper\">\n\t\t\n\t\t<a class=\"elementor-post__read-more\" href=\"https:\/\/dev2.accevo.com\/es\/blog\/manufacturing-data-analytics-unlocking-insights-with-an-enterprise-data-platform\/\" aria-label=\"M\u00e1s informaci\u00f3n sobre Manufacturing Data Analytics &#8211; Unlocking Insights with an Enterprise Data Platform\" tabindex=\"-1\" >\n\t\t\tLeer M\u00e1s \"\t\t<\/a>\n\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Data Lakes and Data Warehouses: Cornerstones of Modern Manufacturing\u00a0 The manufacturing industry is undergoing a data revolution. With advancements in technology, factories are generating unprecedented volumes of data from machines, sensors, and operations. To harness this data and drive operational efficiency, innovation, and decision-making, manufacturers are increasingly turning to data lakes and data warehouses.\u00a0 \u00a0 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":24799,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[62],"class_list":["post-20874","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-industry40"],"_links":{"self":[{"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/posts\/20874","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/comments?post=20874"}],"version-history":[{"count":0,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/posts\/20874\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/media\/24799"}],"wp:attachment":[{"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/media?parent=20874"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/categories?post=20874"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev2.accevo.com\/es\/wp-json\/wp\/v2\/tags?post=20874"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}