{"id":35632,"date":"2026-11-04T12:33:52","date_gmt":"2026-11-04T20:33:52","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=event&#038;p=35632"},"modified":"2026-11-04T19:27:48","modified_gmt":"2026-11-05T03:27:48","slug":"habilite-analitica-de-lakehouse-sobre-mysql-sin-reemplazar-su-base-de-datos","status":"publish","type":"event","link":"https:\/\/www.pingcap.com\/ko\/event\/habilite-analitica-de-lakehouse-sobre-mysql-sin-reemplazar-su-base-de-datos\/","title":{"rendered":"Habilite anal\u00edtica de lakehouse sobre MySQL sin reemplazar su base de datos"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Date<\/strong>: Wednesday, November 25, 2026<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Time<\/strong>: 11:00 &#8211; 12:00PM CST<\/p>\n\n\n\n<p>\n\n\n\n<p>\n\n\n<p><strong>Date<\/strong>: Wednesday, November 25, 2026<\/p>\n<p><strong>Time<\/strong>: 11:00AM CST<\/p>\n<!-- \/wp:post-content -->\n\n<!-- wp:paragraph \/-->\n\n<!-- wp:paragraph \/--><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Los equipos de datos suelen enfrentarse al mismo dilema: las consultas anal\u00edticas intensivas compiten con las transacciones del negocio, y las soluciones habituales (r\u00e9plicas, exportaciones nocturnas, pipelines personalizados) a\u00f1aden costos y retrasos.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>En esta sesi\u00f3n, Roberto Perez, Solution Architect en TiDB, explica c\u00f3mo TiDB Cloud Lake habilita la anal\u00edtica lakehouse sobre sus datos de MySQL mientras su aplicaci\u00f3n sigue ejecut\u00e1ndose en MySQL. Veremos c\u00f3mo incorporar datos de MySQL y S3 a Lake, prepararlos con SQL y ejecutar anal\u00edtica intensiva en recursos de c\u00f3mputo independientes. Tambi\u00e9n explicaremos qu\u00e9 cargas de trabajo son buenas candidatas para este enfoque. Terminaremos con pasos pr\u00e1cticos para evaluar Lake con sus propios datos.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Lo que aprender\u00e1<\/strong><\/p>\n<ul>\n<li>C\u00f3mo habilitar anal\u00edtica lakehouse sobre su entorno MySQL existente, manteniendo las transacciones de su aplicaci\u00f3n en MySQL.<\/li>\n<li>C\u00f3mo llegan los datos de MySQL y los archivos de S3 a TiDB Cloud Lake, y c\u00f3mo se ejecutan las consultas anal\u00edticas intensivas en recursos de c\u00f3mputo independientes.<\/li>\n<li>C\u00f3mo el procesamiento basado en SQL prepara los datos operativos e hist\u00f3ricos para la generaci\u00f3n de informes, ilustrado con el ejemplo de un cliente de anal\u00edtica de pagos<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:list {\"className\":\"wp-block-list\"} -->\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><!-- wp:list-item --><\/ul>\n<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:list {\"className\":\"wp-block-list\"} -->\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><!-- wp:list-item --><\/ul>\n<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:list {\"className\":\"wp-block-list\"} -->\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><!-- wp:list-item --><\/ul>\n<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:list {\"className\":\"wp-block-list\"} -->\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><!-- wp:list-item --><\/ul>\n<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:list {\"className\":\"wp-block-list\"} -->\n<ul class=\"wp-block-list\">\n<li style=\"list-style-type: none;\">\n<ul class=\"wp-block-list\"><!-- wp:list-item --><\/ul>\n<\/li>\n<\/ul>\n<!-- \/wp:list-item --><!-- \/wp:list -->\n\n<!-- wp:paragraph --><!-- \/wp:list-item --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:list --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph {\"className\":\"has-medium-font-size\"} --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"className\":\"has-medium-font-size\"} -->\n<p class=\"has-medium-font-size\"><strong style=\"font-size: 22px;\">Speaker:<\/strong><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:columns {\"verticalAlignment\":\"center\"} --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:tadv\/classic-paragraph -->\n<div class=\"wp-block-columns are-vertically-aligned-center\"><!-- wp:column {\"verticalAlignment\":\"center\",\"width\":\"33.33%\"} --> \u00a0\n<figure><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-35635\" src=\"https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-300x300.png\" alt=\"\" width=\"212\" height=\"212\" srcset=\"https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-300x300.png 300w, https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-1024x1024.png 1024w, https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-150x150.png 150w, https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-768x768.png 768w, https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18-12x12.png 12w, https:\/\/static.pingcap.com\/files\/2026\/11\/04101832\/Untitled-design-18.png 1080w\" sizes=\"auto, (max-width: 212px) 100vw, 212px\" \/><\/figure>\n<div class=\"wp-block-column is-vertically-aligned-center\" style=\"flex-basis: 66.66%;\">\n<h4 style=\"font-size: 20px;\">Roberto Perez, Principal Partner Solutions Architect, TiDB <!-- wp:paragraph {\"style\":{\"typography\":{\"fontSize\":\"20px\"}}} --><\/h4>\nRoberto Perez es Microsoft MVP y l\u00edder tecnol\u00f3gico con experiencia que abarca ingenier\u00eda, producto, go-to-market y dise\u00f1o de soluciones empresariales. En PingCAP, trabaja con socios y equipos empresariales para crear arquitecturas de datos en tiempo real que impulsan la IA y las aplicaciones modernas a gran escala. A lo largo de su carrera, ha ayudado a organizaciones a unir la estrategia con la ejecuci\u00f3n, convirtiendo tecnolog\u00edas emergentes en resultados de negocio pr\u00e1cticos y de alto impacto.<\/div>\n<\/div>\n<!-- \/wp:tadv\/classic-paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:tadv\/classic-paragraph -->\n<div class=\"wp-block-columns are-vertically-aligned-center\">\n<div class=\"wp-block-column is-vertically-aligned-center\" style=\"flex-basis: 66.66%;\"><!-- \/wp:paragraph --><\/div>\n<!-- \/wp:column --><\/div>\n<!-- \/wp:tadv\/classic-paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:tadv\/classic-paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->\n\n<!-- wp:paragraph --><!-- \/wp:paragraph --><!-- \/wp:paragraph -->","protected":false},"excerpt":{"rendered":"<p>Date: Wednesday, November 25, 2026 Time: 11:00 &#8211; 12:00PM CST Date: Wednesday, November 25, 2026 Time: 11:00AM CST Los equipos de datos suelen enfrentarse al mismo dilema: las consultas anal\u00edticas intensivas compiten con las transacciones del negocio, y las soluciones habituales (r\u00e9plicas, exportaciones nocturnas, pipelines personalizados) a\u00f1aden costos y retrasos. En esta sesi\u00f3n, Roberto Perez, [&hellip;]<\/p>\n","protected":false},"featured_media":35633,"template":"","categories":[13,145],"tags":[138,391,147,16,250,301,162,9,111,31],"region":[506],"location":[207],"class_list":["post-35632","event","type-event","status-publish","has-post-thumbnail","hentry","category-product","category-thought-leadership","tag-ai","tag-artificial-intelligence","tag-distributed-sql","tag-distributed-system","tag-distributed-transactions","tag-nosql","tag-saas","tag-scalability","tag-tidb","tag-tidb-cloud","region-latam","location-virtual"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Habilite anal\u00edtica de lakehouse sobre MySQL sin reemplazar su base de datos | TiDB Webinar<\/title>\n<meta name=\"description\" content=\"Ejecute anal\u00edtica lakehouse sobre sus datos de MySQL sin reemplazar su base de datos. 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