{"id":10346,"date":"2023-10-20T10:29:10","date_gmt":"2023-10-20T09:29:10","guid":{"rendered":"https:\/\/aprenderbigdata.com\/?p=10346"},"modified":"2025-08-17T11:22:59","modified_gmt":"2025-08-17T10:22:59","slug":"streamsets","status":"publish","type":"post","link":"https:\/\/aprenderbigdata.com\/streamsets\/","title":{"rendered":"StreamSets: Gesti\u00f3n de Datos en Tiempo Real"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Hoy en d\u00eda nos enfrentamos a una avalancha constante de datos provenientes de diversas fuentes, como redes sociales, sensores, dispositivos m\u00f3viles y m\u00e1s. Para aprovechar al m\u00e1ximo estos datos, es fundamental contar con una plataforma de gesti\u00f3n de datos eficiente y en tiempo real como Streamsets. <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-1024x576.jpg\" alt=\"Streamsets procesa en tiempo real\" class=\"wp-image-10376\" srcset=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-1024x576.jpg 1024w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-300x169.jpg 300w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-768x432.jpg 768w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-800x450.jpg 800w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets.jpg 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">En este art\u00edculo, exploramos StreamSets, una herramienta que permite a las organizaciones manejar y procesar datos en tiempo real de manera efectiva.<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Contenidos<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a661ae85758b\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a661ae85758b\" checked aria-label=\"Alternar\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#%C2%BFQue-es-StreamSets\" >\u00bfQu\u00e9 es StreamSets?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Componentes-de-StreamSets\" >Componentes de StreamSets<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Control-Hub\" >Control Hub<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Aplicaciones\" >Aplicaciones<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Bases-de-Datos\" >Bases de Datos<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Ventajas-de-utilizar-StreamSets\" >Ventajas de utilizar StreamSets<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#Preguntas-Frecuentes-%E2%80%93-FAQ\" >Preguntas Frecuentes &#8211; FAQ<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#%C2%BFStreamSets-es-compatible-con-diferentes-tipos-de-bases-de-datos\" >\u00bfStreamSets es compatible con diferentes tipos de bases de datos?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#%C2%BFPuedo-utilizar-StreamSets-para-el-procesamiento-de-datos-en-la-nube\" >\u00bfPuedo utilizar StreamSets para el procesamiento de datos en la nube?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/aprenderbigdata.com\/streamsets\/#%C2%BFStreamSets-es-una-solucion-escalable\" >\u00bfStreamSets es una soluci\u00f3n escalable?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%C2%BFQue-es-StreamSets\"><\/span>\u00bfQu\u00e9 es StreamSets?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">StreamSets es una plataforma de gesti\u00f3n de datos en tiempo real que ofrece la capacidad de recopilar, mover, transformar y analizar datos en tiempo real. Es una soluci\u00f3n completa que simplifica el proceso de gesti\u00f3n de datos al proporcionar una interfaz intuitiva y f\u00e1cil de usar.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Componentes-de-StreamSets\"><\/span>Componentes de StreamSets<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Control-Hub\"><\/span>Control Hub<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">El Control Hub es el componente central de Streamsets, desde este componente se controlan todas las <strong><a href=\"https:\/\/aprenderbigdata.com\/pipeline-de-datos\/\">pipelines de datos<\/a><\/strong> y es el punto de acceso de los usuarios. Tambi\u00e9n, controla el proceso de desarrollo, despliegue y m\u00e9tricas. Para estas tareas, es posible definir roles de usuarios. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por ejemplo, podemos tener un rol de <strong><a href=\"https:\/\/aprenderbigdata.com\/ingeniero-de-datos\/\">ingeniero de datos<\/a><\/strong> relacionado con la implementaci\u00f3n de pipelines o un rol de <a href=\"https:\/\/aprenderbigdata.com\/arquitectura-de-datos\/\"><strong>arquitecto de datos<\/strong><\/a> para dise\u00f1ar el diagrama de la topolog\u00eda (es una vista unificada con diferentes trabajos y pipelines) e integraciones con otros sistemas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Generalmente, el trabajo del Control Hub tiene tres fases, el dise\u00f1o, la implementaci\u00f3n y la publicaci\u00f3n de pipelines de datos. Todas estas fases son iterativas y para llevarlas a cabo deben intervenir varios equipos. StreamSets permite llevar un control de este ciclo a trav\u00e9s del control de versiones y el hist\u00f3rico.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img decoding=\"async\" width=\"617\" height=\"293\" src=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-historico-versiones.png\" alt=\"Control de versiones en Streamsets\" class=\"wp-image-10663\" style=\"aspect-ratio:2.10580204778157;width:415px;height:auto\" srcset=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-historico-versiones.png 617w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/streamsets-historico-versiones-300x142.png 300w\" sizes=\"(max-width: 617px) 100vw, 617px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">En Streamsets existen dos componentes o motores de ejecuci\u00f3n que se implementan en las pipelines: los colectores de datos y los transformadores. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Los <strong>colectores de datos (Data Collector)<\/strong> son las piezas encargadas de leer o escribir datos a fuentes o destinos externos. Por ejemplo podemos necesitar leer datos de <strong><a href=\"https:\/\/aprenderbigdata.com\/snowflake\/\">Snowflake<\/a><\/strong> o bien escribir nuestros resultados en <strong><a href=\"https:\/\/aprenderbigdata.com\/amazon-s3\/\">Amazon S3<\/a><\/strong>. Estos colectores tambi\u00e9n pueden hacer peque\u00f1as transformaciones en los datos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Los <strong>transformadores (Transformer)<\/strong> son las piezas especializadas en el procesamiento de datos distribuido. Para ello, ejecutan en un cluster de <strong><a href=\"https:\/\/aprenderbigdata.com\/introduccion-apache-spark\/\">Spark<\/a><\/strong> y pueden hacer operaciones pesadas como joins sobre datos masivos de forma eficiente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por \u00faltimo, Control Hub nos proporciona capacidades de observabilidad, monitorizaci\u00f3n y <strong><a href=\"https:\/\/aprenderbigdata.com\/gobierno-datos\/\">calidad<\/a><\/strong>. Nos ofrece chequeos de salud en tiempo real de todos los componentes, estad\u00edsticas detalladas e informaci\u00f3n de errores. Tambi\u00e9n es posible configurar alertas para facilitar a los equipos de operaciones resolver las incidencias lo m\u00e1s r\u00e1pido posible.<\/p>\n\n\n\n<div class=\"wp-block-group pre-su\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<pre class=\"wp-block-preformatted\"><div class=\"su-service\"><div class=\"su-service-title\" style=\"padding-left:44px;min-height:30px;line-height:30px\"><i class=\"sui sui-info-circle\" style=\"font-size:30px;color:#e74273\"><\/i> \u00bfQuieres Convertirte en Ingeniero de Datos?<\/div><div class=\"su-service-content su-u-clearfix su-u-trim\" style=\"padding-left:44px\"><br>Consigue empleo con el <a href=\"https:\/\/aprenderbigdata.com\/curso-ingeniero-datos\/\">programa acelerado de Data Engineer<\/a><br><\/div><\/div><\/pre>\n<\/div><\/div>\n\n\n<style>.pre-su pre {<br \/>\n\tbackground-color: #fffae9 !important;<br \/>\n}<br \/>\n<\/style>\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Aplicaciones\"><\/span>Aplicaciones<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Las aplicaciones de StreamSets gestionan las peticiones de los usuarios relacionadas con los pipelines de datos. Estas peticiones pueden ser de administraci\u00f3n, como por ejemplo la ejecuci\u00f3n de un trabajo o el chequeo del estado de un componente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Estas aplicaciones son independientes y se comunican mediante un API REST seguro. Existen aplicaciones para cada servicio que proporciona Control Hub, como las notificaciones, la interfaz gr\u00e1fica, la seguridad o el reporting.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Bases-de-Datos\"><\/span>Bases de Datos<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Las aplicaciones almacenan datos de trabajo en bases de datos relacionales y de series temporales. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">StreamSets necesita de una <strong>base de datos relacional<\/strong> y de forma opcional, una <strong>base de datos de series temporales<\/strong> como <a href=\"https:\/\/www.influxdata.com\/\">InfluxDB<\/a>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"500\" height=\"251\" src=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/arquitectura-streamsets.jpg\" alt=\"Arquitectura de Streamsets\" class=\"wp-image-10667\" srcset=\"https:\/\/aprenderbigdata.com\/wp-content\/uploads\/arquitectura-streamsets.jpg 500w, https:\/\/aprenderbigdata.com\/wp-content\/uploads\/arquitectura-streamsets-300x151.jpg 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">El uso de esta base de datos de series temporales permite ofrecer funcionalidades de an\u00e1lisis del rendimiento de las aplicaciones de forma m\u00e1s completa. De esta forma, los usuarios podr\u00e1n ver el hist\u00f3rico de m\u00e9tricas detalladas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Ventajas-de-utilizar-StreamSets\"><\/span>Ventajas de utilizar StreamSets<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Integraci\u00f3n sencilla<\/strong>: StreamSets ofrece una amplia gama de conectores preconstruidos que facilitan la integraci\u00f3n con diversas fuentes de datos. Esto permite a las organizaciones recopilar datos de manera r\u00e1pida y sencilla sin requerir una programaci\u00f3n compleja.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Procesamiento en tiempo real<\/strong>: La plataforma de StreamSets est\u00e1 dise\u00f1ada para manejar flujos de datos en tiempo real. Esto significa que las organizaciones pueden procesar y analizar los datos a medida que llegan, lo que les brinda informaci\u00f3n actualizada y en tiempo real para la toma de decisiones.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Transformaci\u00f3n de datos<\/strong>: StreamSets tambi\u00e9n tiene implementadas funciones de transformaci\u00f3n de datos que permiten limpiar, normalizar y enriquecer los datos antes de que sean almacenados o analizados. Esto garantiza que los datos sean de alta calidad y est\u00e9n listos para su uso.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Monitorizaci\u00f3n y gesti\u00f3n<\/strong>: Un aspecto muy importante son las herramientas de monitorizaci\u00f3n y gesti\u00f3n que permiten supervisar el rendimiento de los flujos de datos. Esto facilita la detecci\u00f3n y resoluci\u00f3n de problemas, lo que garantiza la integridad y la disponibilidad continua.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"Preguntas-Frecuentes-%E2%80%93-FAQ\"><\/span>Preguntas Frecuentes &#8211; FAQ<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h3><span class=\"ez-toc-section\" id=\"%C2%BFStreamSets-es-compatible-con-diferentes-tipos-de-bases-de-datos\"><\/span>\u00bfStreamSets es compatible con diferentes tipos de bases de datos?<span class=\"ez-toc-section-end\"><\/span><\/h3>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">StreamSets es compatible con una amplia variedad de bases de datos, incluyendo MySQL, Oracle, MongoDB y muchos m\u00e1s.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h3><span class=\"ez-toc-section\" id=\"%C2%BFPuedo-utilizar-StreamSets-para-el-procesamiento-de-datos-en-la-nube\"><\/span>\u00bfPuedo utilizar StreamSets para el procesamiento de datos en la nube?<span class=\"ez-toc-section-end\"><\/span><\/h3>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">S\u00ed, StreamSets es compatible con plataformas en la nube como AWS, Azure y Google Cloud.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section\t\thelp class=\"sc_fs_faq sc_card    \"\n\t\t\t\t>\n\t\t\t\t<h3><span class=\"ez-toc-section\" id=\"%C2%BFStreamSets-es-una-solucion-escalable\"><\/span>\u00bfStreamSets es una soluci\u00f3n escalable?<span class=\"ez-toc-section-end\"><\/span><\/h3>\t\t\t\t<div>\n\t\t\t\t\t\t<div class=\"sc_fs_faq__content\">\n\t\t\t\t\n\n<p class=\"wp-block-paragraph\">StreamSets est\u00e1 dise\u00f1ado para ser escalable, lo que significa que puede manejar grandes vol\u00famenes de datos y crecer a medida que las necesidades de tu empresa lo requieran.<\/p>\n\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/section>\n\t\t\n<script type=\"application\/ld+json\">\n\t{\n\t\t\"@context\": \"https:\/\/schema.org\",\n\t\t\"@type\": \"FAQPage\",\n\t\t\"mainEntity\": [\n\t\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"\u00bfStreamSets es compatible con diferentes tipos de bases de datos?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>StreamSets es compatible con una amplia variedad de bases de datos, incluyendo MySQL, Oracle, MongoDB y muchos m\u00e1s.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"\u00bfPuedo utilizar StreamSets para el procesamiento de datos en la nube?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>S\u00ed, StreamSets es compatible con plataformas en la nube como AWS, Azure y Google Cloud.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"\u00bfStreamSets es una soluci\u00f3n escalable?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"<p>StreamSets est\u00e1 dise\u00f1ado para ser escalable, lo que significa que puede manejar grandes vol\u00famenes de datos y crecer a medida que las necesidades de tu empresa lo requieran.<\/p>\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t\t\t\t]\n\t}\n<\/script>\n\n\n\n<div class=\"wp-block-group newsletter-re\"><div class=\"wp-block-group__inner-container is-layout-flow wp-block-group-is-layout-flow\">\n<!-- Begin Brevo Form -->\n<!-- START - We recommend to place the below code in head tag of your website html  -->\n<style>\n  @font-face {\n    font-display: block;\n    font-family: Roboto;\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 600;\n  }\n\n  @font-face {\n    font-display: fallback;\n    font-family: Roboto;\n    font-weight: 700;\n  }\n\n  #sib-container input:-ms-input-placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container input::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n\n  #sib-container textarea::placeholder {\n    text-align: left;\n    font-family: \"Helvetica\", sans-serif;\n    color: #c0ccda;\n  }\n<\/style>\n<link rel=\"stylesheet\" href=\"https:\/\/sibforms.com\/forms\/end-form\/build\/sib-styles.css\">\n<!--  END - We recommend to place the above code in head tag of your website html -->\n\n<!-- START - We recommend to place the below code where you want the form in your website html  -->\n<div class=\"sib-form\" style=\"text-align: center;\n         background-color: #ffffff; 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