{"id":24248,"date":"2025-01-31T01:15:33","date_gmt":"2025-01-31T01:15:33","guid":{"rendered":"https:\/\/abexis.es\/index.php\/product\/aplicaciones-de-oracle-para-datamining-y-big-data\/"},"modified":"2025-06-16T12:08:29","modified_gmt":"2025-06-16T12:08:29","slug":"aplicaciones-de-oracle-para-datamining-y-big-data","status":"publish","type":"product","link":"https:\/\/abexis.es\/index.php\/product\/aplicaciones-de-oracle-para-datamining-y-big-data\/","title":{"rendered":"APLICACIONES DE ORACLE PARA DATAMINING Y BIG DATA"},"content":{"rendered":"<p>1. CONCEPTOS B\u00c1SICOS<br \/>\n  1.1. Descubrimiento de conocimiento en Bases de Datos<br \/>\n  1.2. Data Warehouse<br \/>\n  1.3. Data Mining<\/p>\n<p>  2. ORACLE DATA WAREHOUSE. INSTALACI\u00d3N Y CONFIGURACI\u00d3N CON ORACLE WAREHOUSE BUILDER<br \/>\n  2.1. Oracle Data Warehouse<br \/>\n  2.2. Instalaci\u00f3n de Oracle Warehouse Builder<\/p>\n<p>  3. ORACLE WAREHOUSE BUILDER. IMPLEMENTANDO UN DATA WAREHOUSE. LAS FUENTES DE DATOS<br \/>\n  3.1. Conceptos b\u00e1sicos<br \/>\n  3.2. Primer contacto con el Centro de Dise\u00f1o<br \/>\n  3.3. Procedimiento para la creaci\u00f3n de un Data Warehouse<br \/>\n  3.4. Descripci\u00f3n del modelo de ejemplo<br \/>\n  3.5. Creaci\u00f3n de los origines de datos<\/p>\n<p>  4. ORACLE WAREHOUSE BUILDER. DISE\u00d1O DEL ESQUEMA DE DESTINO<br \/>\n  4.1. Dise\u00f1o del Esquema de Destino<br \/>\n  4.2. Creaci\u00f3n de los Objetos de Ejemplo<br \/>\n  4.3. Despliegue de los Objetos en el Esquema de Destino<br \/>\n  4.4. Repository Browser<br \/>\n  4.5. Herramientas Adicionales<\/p>\n<p>  5. ORCALE WAREHOUSE BUILDER. DISE\u00d1O Y CONSTRUCCI\u00d3N DE LOS PROCESOS ETL<br \/>\n  5.1. Dise\u00f1o de la l\u00f3gica ETL<br \/>\n  5.2. Creaci\u00f3n de Correspondencias y Transformaciones<br \/>\n  5.3. Dise\u00f1o del flujo de proceso y ejecuci\u00f3n programada<br \/>\n  5.4. Creaci\u00f3n de un Flujo de Trabajo y Programaci\u00f3n de su Ejecuci\u00f3n<\/p>\n<p>  6. ORACLE DATA MINING. MINER\u00cdA DEDATOS CON ORCALE DATA MINER<br \/>\n  6.1. Introducci\u00f3n a Oracle Data Mining<br \/>\n  6.2. El proceso de Data Mining<br \/>\n  6.3. Ventajas de Oracle Data Mining<br \/>\n  6.4. Oracle Predictive Analytics<br \/>\n  6.5. Oracle Data Miner<br \/>\n  6.6. Funciones<br \/>\n  6.7. Algoritmos<\/p>\n<p>  7. ORACLE BUSINESS INTELLIGENCE DISCOVERER.PRESENTACI\u00d3N DE DATOS<br \/>\n  7.1. Oracle Fusion Middleware<br \/>\n  7.2. Instalaci\u00f3n<br \/>\n  7.3. Oracle Business Intelligence Discoverer<\/p>\n<p>  8. BIG DATA CON PENTAHO<br \/>\n  8.1. Conceptos B\u00e1sicos<br \/>\n  8.2. Herramientas de Software Libre para Big Data<br \/>\n  8.3. Introducci\u00f3n a la Suite de Herramientas de Pentaho<br \/>\n  8.4. Big Data Analitycs con Pentaho<\/p>\n<p>  9. EVALUACI\u00d3N<br \/>\n  9.1. Test de conocimientos<br \/>\n  9.2. Trabajo voluntario<br \/>\n  9.3. Trabajo obligatorio<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Transformar los datos de la empresa en informaci\u00f3n estructurada para la toma de decisiones.<\/p>\n","protected":false},"featured_media":24101,"template":"","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"product_brand":[],"product_cat":[48],"product_tag":[],"class_list":["post-24248","product","type-product","status-publish","has-post-thumbnail","product_cat-informatica-y-comunicaciones","first","instock","virtual","taxable","purchasable","product-type-simple"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>APLICACIONES DE ORACLE PARA DATAMINING Y BIG DATA -<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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