{"id":88703,"date":"2026-05-05T17:58:43","date_gmt":"2026-05-05T15:58:43","guid":{"rendered":"https:\/\/www.techbarcelona.com\/posting\/repsol-y-mongodb-unificando-datos-complejos-para-simplificar-el-futuro-de-la-energia\/"},"modified":"2026-05-05T18:01:25","modified_gmt":"2026-05-05T16:01:25","slug":"repsol-y-mongodb-unificando-datos-complejos-para-simplificar-el-futuro-de-la-energia","status":"publish","type":"posting","link":"https:\/\/www.techbarcelona.com\/en\/posting\/repsol-y-mongodb-unificando-datos-complejos-para-simplificar-el-futuro-de-la-energia\/","title":{"rendered":"Repsol and MongoDB: unifying complex data to simplify the future of energy"},"content":{"rendered":"<div class=\"container\">\n<div id=\"model-response-message-contentr_5d5e26df7c0d2a8c\" class=\"markdown markdown-main-panel stronger enable-updated-hr-color\" dir=\"ltr\" aria-live=\"off\">\n<p data-start=\"0\" data-end=\"301\">Repsol doesn\u2019t just supply energy; it is leading a transformation toward net-zero emissions. To achieve this, it needed its data to be as dynamic as its sustainability goals. However, fragmented information across traditional silos created friction that slowed down critical real-time decision-making.<\/p>\n<p data-start=\"303\" data-end=\"395\">The solution wasn\u2019t simply to accumulate more data, but to change how they interact with it.<\/p>\n<p data-start=\"397\" data-end=\"801\">By implementing MongoDB Atlas, Repsol unified complex data sources into a single, flexible platform. This transition enabled its technology teams to develop asset management and energy optimization applications at a speed that was previously impossible. They moved from rigid, tabular data structures to a document model that reflects real-world complexity, enabling innovation across all business lines.<\/p>\n<p data-start=\"803\" data-end=\"1075\">Today, Repsol\u2019s infrastructure doesn\u2019t just store information; it accelerates operational efficiency and supports its commitment to a sustainable future. It\u2019s proof that when you remove the limits of your data architecture, the only limit left is your ability to innovate.<\/p>\n<p data-start=\"1077\" data-end=\"1170\" data-is-last-node=\"\" data-is-only-node=\"\">Read the full case study here: <a class=\"decorated-link\" href=\"https:\/\/www.mongodb.com\/solutions\/customer-case-studies\/repsol\" target=\"_new\" rel=\"noopener\" data-start=\"1108\" data-end=\"1170\" data-is-last-node=\"\">https:\/\/www.mongodb.com\/solutions\/customer-case-studies\/repsol<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Repsol doesn\u2019t just supply energy; it is leading a transformation toward net-zero emissions. To achieve this, it needed its data to be as dynamic as its sustainability goals. However, fragmented information across traditional silos created friction that slowed down critical real-time decision-making. The solution wasn\u2019t simply to accumulate more data, [&hellip;]<\/p>\n","protected":false},"template":"","class_list":["post-88703","posting","type-posting","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Repsol and MongoDB: unifying complex data to simplify the future of energy - Tech Barcelona<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.techbarcelona.com\/en\/posting\/repsol-y-mongodb-unificando-datos-complejos-para-simplificar-el-futuro-de-la-energia\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Repsol and MongoDB: unifying complex data to simplify the future of energy - Tech Barcelona\" \/>\n<meta property=\"og:description\" content=\"Repsol doesn\u2019t just supply energy; it is leading a transformation toward net-zero emissions. To achieve this, it needed its data to be as dynamic as its sustainability goals. However, fragmented information across traditional silos created friction that slowed down critical real-time decision-making. 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