{"id":831,"date":"2013-07-16T04:32:00","date_gmt":"2013-07-16T04:32:00","guid":{"rendered":"http:\/\/geeks.ms\/johnbulla\/2013\/07\/16\/webcast-big-data\/"},"modified":"2020-09-05T16:44:14","modified_gmt":"2020-09-05T21:44:14","slug":"webcast-big-data","status":"publish","type":"post","link":"https:\/\/wiki-cloud.co\/en\/2013\/07\/webcast-big-data\/","title":{"rendered":"{WEBCAST} \u2013 Big Data"},"content":{"rendered":"<p>Hi Folks:<\/p>\n<p align=\"justify\">Los invito a esta serie de webcast sobre Big Data que ser\u00e1n impartidos por nuestros colegas de <a href=\"http:\/\/www.solidq.com\" target=\"_blank\" rel=\"noopener noreferrer\">SolidQ<\/a>.<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556877&amp;Culture=es-ES&amp;community=0\">Introducci\u00f3n a Big Data. HDInsight<\/a><\/p>\n<p><strong>Date:<\/strong> 9 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">Introducci\u00f3n a Big Data. Gracias a la nueva tecnolog\u00eda Microsoft Hadoop, tanto on-premise como en la nube, y a sus capacidades de almacenamiento, procesamiento y escalabilidad, podemos analizar grandes vol\u00famenes de datos del orden de Terabytes o Petabytes de una forma r\u00e1pida y con buen rendimiento. Es ahora el momento de familiarizarnos con la nueva forma de trabajar en Hadoop a la hora de extraer esa informaci\u00f3n distribuida por nuestros nodos. De la misma forma que hacemos con SQL Server, en esta sesi\u00f3n aprenderemos a desplegar y almacenar esa informaci\u00f3n en nuestros nodos, a crear consultas para extraer las partes que nos sean m\u00e1s \u00fatiles.<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556879&amp;Culture=es-ES&amp;community=0\">Integrando Big Data HDInsight con Data Explorer<\/a><\/p>\n<p><strong>Date:<\/strong> 11 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">El an\u00e1lisis de los datos ha de ser, adem\u00e1s de rico, sencillo. Con la aparici\u00f3n y desarrollo de las tecnolog\u00edas de Microsoft Big Data se agudiza a\u00fan m\u00e1s la necesidad de simplificar la explotaci\u00f3n de las diferentes fuentes de informaci\u00f3n disponibles. En este webcast veremos el papel de Data Explorer en el ecosistema de BI de Microsoft y c\u00f3mo podemos usarlo para consultar informaci\u00f3n proveniente de HDInsight para su posterior combinaci\u00f3n y an\u00e1lisis.<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556883&amp;Culture=es-ES&amp;community=0\">An\u00e1lisis de Sentimiento usando HDInsight<\/a><\/p>\n<p><strong>Date:<\/strong> 16 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">La cantidad de datos a manejar dentro de las organizaciones crece de manera exponencial. A la vez, cada vez existe m\u00e1s y m\u00e1s informaci\u00f3n externa que gira alrededor de nuestros negocios (Twitter, Facebook, LinkedIn, etc.).<\/p>\n<p align=\"justify\">Veremos c\u00f3mo entender el sentimiento de los datos, manejar grandes cantidades de datos, y ayudar a comprender y analizar mejor la informaci\u00f3n que gira dentro y fuera de las organizaciones, mezclando informaci\u00f3n de nuestros sistemas de BI tradicionales con los an\u00e1lisis que podemos realizar usando HDInsight.<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556896&amp;Culture=es-ES&amp;community=0\">StreamInsight<\/a><\/p>\n<p><strong>Date:<\/strong> 18 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">En \u00e9ste webcast, StreamInsight, se ver\u00e1: Comparativa StreamInsight vs HDInsight vs SSAS CacheProactiva, Introducci\u00f3n, Proyectos complementarios a la soluci\u00f3n de BI donde se ajusta StreamInsight, Demo Pr\u00e1ctica. Aplicaci\u00f3n en tiempo real de control de estaciones de energia\/stock markets\/sentiment analysis.<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556888&amp;Culture=es-ES&amp;community=0\">Capturando y Almacenando Datos en HDInsight<\/a><\/p>\n<p><strong>Date:<\/strong> 23 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">En este webcast, Big Data HDInsight. Capturando y Almacenando datos en HDInsight, veremos diferentes t\u00e9cnicas para el tratamiento y la subida de diferentes fuentes de datos. Veremos c\u00f3mo extraer y almacenar informaci\u00f3n de redes sociales, sensores, ficheros de logs, etc. \u00bfQu\u00e9 tipo de almacenamiento debemos usar?<\/p>\n<p><a href=\"https:\/\/msevents.microsoft.com\/CUI\/EventDetail.aspx?EventID=1032556893&amp;Culture=es-ES&amp;community=0\">Casos pr\u00e1cticos, Miner\u00eda de datos, Computaci\u00f3n, etc<\/a><\/p>\n<p><strong>Date:<\/strong> 25 de Julio 10:00 am (-5GMT Bogot\u00e1, Lima, Quito)<\/p>\n<p align=\"justify\">En este webcast, HDInsight. Casos pr\u00e1cticos. Miner\u00eda de datos, computaci\u00f3n\u2026, Veremos c\u00f3mo aprovechar la potencia de computaci\u00f3n en paralelo de HDInsight para ejecutar nuestros propios algoritmos y explotar al m\u00e1ximo la informaci\u00f3n. Veremos un caso pr\u00e1ctico orientado a analizar la informaci\u00f3n generada por sensores el\u00e9ctricos.<\/p>\n<p align=\"justify\">Best Regards,<\/p>\n\n\n<p><strong>Share:<\/strong><\/p>\n\n\n<div class=\"wp-block-coblocks-social is-style-mask has-colors\" style=\" \"><ul><li>\n\t\t\t\t\t<a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https:\/\/wiki-cloud.co\/en\/2013\/07\/webcast-big-data\/&#038;title=WEBCAST%20\u2013%20Big%20Data\" class=\"wp-block-button__link wp-block-coblocks-social__button wp-block-coblocks-social__button--facebook     has-padding\" title=\"Share on Facebook\" style=\"border-radius: 40px;\">\n\t\t\t\t\t\t<span class=\"wp-block-coblocks-social__icon\" style=\"height:22px;width: 22px;\"><\/span>\n\t\t\t\t\t\t<span class=\"wp-block-coblocks-social__text\" style=\"\">Share on Facebook<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/li><li>\n\t\t\t\t\t<a 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Introducci\u00f3n a Big Data.<\/p>","protected":false},"author":1,"featured_media":1804,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[73,50,28],"tags":[],"class_list":["post-831","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-eventos","category-microsoft","category-sql-server"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>{WEBCAST} \u2013 Big Data - Wiki Cloud<\/title>\n<meta name=\"description\" content=\"Introducci\u00f3n a Big Data. Gracias a la nueva tecnolog\u00eda Microsoft Hadoop, tanto on-premise como en la nube, y a sus capacidades de almacenamiento, procesamiento y escalabilidad, podemos analizar grandes vol\u00famenes de datos del orden de Terabytes o Petabytes de una forma r\u00e1pida y con buen rendimiento. Es ahora el momento de familiarizarnos con la nueva forma de trabajar en Hadoop a la hora de extraer esa informaci\u00f3n distribuida por nuestros nodos. De la misma forma que hacemos con SQL Server, en esta sesi\u00f3n aprenderemos a desplegar y almacenar esa informaci\u00f3n en nuestros nodos, a crear consultas para extraer las partes que nos sean m\u00e1s \u00fatiles.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"{WEBCAST} \u2013 Big Data - Wiki Cloud\" \/>\n<meta property=\"og:description\" content=\"Introducci\u00f3n a Big Data. Gracias a la nueva tecnolog\u00eda Microsoft Hadoop, tanto on-premise como en la nube, y a sus capacidades de almacenamiento, procesamiento y escalabilidad, podemos analizar grandes vol\u00famenes de datos del orden de Terabytes o Petabytes de una forma r\u00e1pida y con buen rendimiento. Es ahora el momento de familiarizarnos con la nueva forma de trabajar en Hadoop a la hora de extraer esa informaci\u00f3n distribuida por nuestros nodos. De la misma forma que hacemos con SQL Server, en esta sesi\u00f3n aprenderemos a desplegar y almacenar esa informaci\u00f3n en nuestros nodos, a crear consultas para extraer las partes que nos sean m\u00e1s \u00fatiles.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wiki-cloud.co\/en\/2013\/07\/webcast-big-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Wiki Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2013-07-16T04:32:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-09-05T21:44:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/wiki-cloud.co\/wp-content\/uploads\/2013\/07\/article_coverpage_evento_bigdata_2013_780x420.png\" \/>\n\t<meta property=\"og:image:width\" content=\"780\" \/>\n\t<meta property=\"og:image:height\" content=\"420\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"John Bulla\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"John Bulla\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/\"},\"author\":{\"name\":\"John Bulla\",\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/#\\\/schema\\\/person\\\/b73ea518d1f5e5fc1dba6f6fadb1e0ed\"},\"headline\":\"{WEBCAST} \u2013 Big Data\",\"datePublished\":\"2013-07-16T04:32:00+00:00\",\"dateModified\":\"2020-09-05T21:44:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/\"},\"wordCount\":552,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/#\\\/schema\\\/person\\\/b73ea518d1f5e5fc1dba6f6fadb1e0ed\"},\"image\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/wiki-cloud.co\\\/wp-content\\\/uploads\\\/2013\\\/07\\\/article_coverpage_evento_bigdata_2013_780x420.png\",\"articleSection\":[\"Eventos\",\"Microsoft\",\"SQL Server\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/\",\"url\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/\",\"name\":\"{WEBCAST} \u2013 Big Data - Wiki Cloud\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/wiki-cloud.co\\\/es\\\/2013\\\/07\\\/webcast-big-data\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/wiki-cloud.co\\\/wp-content\\\/uploads\\\/2013\\\/07\\\/article_coverpage_evento_bigdata_2013_780x420.png\",\"datePublished\":\"2013-07-16T04:32:00+00:00\",\"dateModified\":\"2020-09-05T21:44:14+00:00\",\"description\":\"Introducci\u00f3n a Big Data. 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