Start Time (24h) | Speaker | Track | Title |
---|---|---|---|
09:00:00 | Keneth Murillo | Cloud Application Development Deployment | Modern Architectures in Cloud |
09:00:00 | Juan Alvarado | Analytics and Visualization | Reporting Services 2016: Evolucion o revolucion? |
09:00:00 | Alejandro Cordero | Application Database Development | UFC #1433 tablas In-Memory 2014 vrs 2016 |
09:00:00 | Mario Guzman | BI Platform Architecture, Development Administration | Expandiendo las fronteras de SSIS (Cargando datos desde Web Servi |
09:00:00 | Mario Rodriguez | BI Platform Architecture, Development Administration | Creando una soluci#243;n Business Intelligence en 60 minutos |
10:15:00 | Michelle Gutzait | Enterprise Database Administration Deployment | Improve query performance with the new SQL Server 2016 query store!! |
10:15:00 | David Sánchez Aguilar | Professional Development | Visual Studio SQL Server Better Together |
10:15:00 | Jorge García | BI Platform Architecture, Development Administration | T#233;cnicas en patrones de b#250;squedas (SSIS), Quien gana la carrera? |
10:15:00 | Mary Arcia | BI Platform Architecture, Development Administration | BI en tus t#233;rminos |
10:15:00 | Andrei Garzon | BI Information Delivery | #191;Y c#243;mo visualizo mi informaci#243;n? |
11:30:00 | Vern Rabe | Enterprise Database Administration Deployment | It’s Time for a Change : Temporal Table Support in SQL Server 2016 |
11:30:00 | Marco Tulio Gómez Reyes | BI Platform Architecture, Development Administration | Analysis Services Multidimensional vs Tabular |
11:30:00 | Adrian Miranda | Cloud Application Development Deployment | Planeando e Implementando Servicios de Datos con Microsoft Azure |
11:30:00 | John Alexander Bulla Torres | Application Database Development | Introducci#243;n a U-SQL lenguaje que hace f#225;cil el procesamiento de Big Data |
11:30:00 | Ahias Portillo | Application Database Development | Calling the doctor to the number "DMV" |
13:30:00 | Juan Alvarado | BI Information Delivery | Power BI deep dive |
13:30:00 | César Oviedo | BI Platform Architecture, Development Administration | Intro to Azure Data Warehouse |
13:30:00 | Warner Chaves | Enterprise Database Administration Deployment | Capa de Datos Elastica con Azure SQL Elastic Scale |
13:30:00 | Mario Alberto Posadas Rivera | Other | La Seguridad de la Informaci#243;n en el D#237;a a D#237;a |
13:30:00 | Ahias Portillo | Application Database Development | Fast and Furious: Discovering Windowing Function |
13:30:00 | Ignacio Salom Rangel | Enterprise Database Administration Deployment | 7 things you need to know about TempDB |
14:45:00 | Carlos A. Ulate Hernandez | Application Database Development | SQL Server 2016: Row Level Security |
14:45:00 | Warner Chaves | Enterprise Database Administration Deployment | Lecciones Aprendidas de 4000 SQL Servers |
14:45:00 | Kenneth Urena | Enterprise Database Administration Deployment | SQL Server 2016 - Stretch Databases |
14:45:00 | John Alexander Bulla Torres | Cloud Application Development Deployment | Always On en Microsoft Azure |
14:45:00 | Patricio Cofre | Advanced Analysis Techniques | Creaci#243;n y Explotaci#243;n de un Modelo de An#225;lisis Predictivo en la Nube |
14:45:00 | Carlos Loria | Analytics and Visualization | Introducci#243;n a R: Primeros pasos en R |
16:00:00 | Carlos Rojas Vargas | Enterprise Database Administration Deployment | Nuevas Opciones de Cluster en Windows Server 2016 y SQL-Server 2016 |
16:00:00 | Christian Sanabria Jiménez | Professional Development | Ventajas que da el soporte de JSON de SQL Server 2016 para desarrolladores |
16:00:00 | Kenneth Urena | Enterprise Database Administration Deployment | Configuring AlwaysON availability groups with Readable Secundaries |
16:00:00 | Eduardo Castro | Analytics and Visualization | Introducci#243;n al Microsoft R Server |
16:00:00 | Gerzo Gallardo Morales | Analytics and Visualization | Power BI Google Analytics una gran conversaci#243;n |
16:00:00 | Jesus Gil | BI Platform Architecture, Development Administration | Creando arquitecturas para HA+DRPs y #191;C#243;mo evitar caer en el intento? |
Event Date: 23-04-2016 - Session time: 09:00:00 - Track: Cloud Application Development Deployment
Event Date: 23-04-2016 - Session time: 09:00:00 - Track: Analytics and Visualization
Event Date: 23-04-2016 - Session time: 09:00:00 - Track: Application Database Development
Event Date: 23-04-2016 - Session time: 09:00:00 - Track: BI Platform Architecture, Development Administration
Event Date: 23-04-2016 - Session time: 09:00:00 - Track: BI Platform Architecture, Development Administration
Event Date: 23-04-2016 - Session time: 10:15:00 - Track: Enterprise Database Administration Deployment
El Query Store en SQL Server 2016 es un nuevo feature que mantiene la historia de los planes de ejecuci#243;n junto a sus datos de rendimiento . Esto facilita identificar r#225;pidamente consultas que recientemente se han vuelto m#225;s lentas, permitiendo a los administradores o desarrolladores forzar el uso del mejor plan de ejecuci#243;n, si es necesario. El Query Store se configura en
Event Date: 23-04-2016 - Session time: 10:15:00 - Track: Professional Development
Event Date: 23-04-2016 - Session time: 10:15:00 - Track: BI Platform Architecture, Development Administration
Event Date: 23-04-2016 - Session time: 10:15:00 - Track: BI Platform Architecture, Development Administration
H#237;brido de BI (Cloud / on-Local) Informes modernos An#225;lisis mejorado BI m#243;vil En esta charla daremos una visi#243;n general de las nuevas caracter#237;sticas relacionadas al servicio de BI en SQL Server 2016. A medida que la lista crece, SQL Server 2016 se convierte en una versi#243;n masiva de BI.
Event Date: 23-04-2016 - Session time: 10:15:00 - Track: BI Information Delivery
Event Date: 23-04-2016 - Session time: 11:30:00 - Track: Enterprise Database Administration Deployment
In this session we’ll discuss how you can benefit from temporal support in your tables, how to implement temporal tables in SQL Server 2016, and how to write “time travel queries” using the new FOR SYSTEM_TIME clause in a SELECT statement to easily query historical information.
Event Date: 23-04-2016 - Session time: 11:30:00 - Track: BI Platform Architecture, Development Administration
Event Date: 23-04-2016 - Session time: 11:30:00 - Track: Cloud Application Development Deployment
Event Date: 23-04-2016 - Session time: 11:30:00 - Track: Application Database Development
Event Date: 23-04-2016 - Session time: 11:30:00 - Track: Application Database Development
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: BI Information Delivery
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: BI Platform Architecture, Development Administration
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: Enterprise Database Administration Deployment
Escalar dinamicamente la capa de datos requiere controlar la distribucion de datos, el movimiento de datos y routing a nivel de aplicacion. Azure SQL Database y el Elastic Scale .NET API se combinan para proveer una solucion a estos puntos con un conjunto de poderosas habilidades y tecnologias.
En esta sesion mostraremos la Elastic Scale .NET API, pools de bases de datos, elastic query y jobs elasticos y como ayudan a crear verdadera elasticidad de poder de SQL!
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: Other
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: Application Database Development
Event Date: 23-04-2016 - Session time: 13:30:00 - Track: Enterprise Database Administration Deployment
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Application Database Development
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Enterprise Database Administration Deployment
En esta sesiOn cubriremos los errores mas comunes que hemos visto, las mejores practicas que aplican para la gran mayoria de sistemas, los ambientes mas demandantes que hemos administrado y su arquitectura.
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Enterprise Database Administration Deployment
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Cloud Application Development Deployment
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Advanced Analysis Techniques
En esta sesi#243;n aprenderemos a generar un modelo predictivo en la nube, optimizarlo, validarlo y explotarlo utilizando los servicios web que la misma herramienta ofrece.
Event Date: 23-04-2016 - Session time: 14:45:00 - Track: Analytics and Visualization
En esta sesi#243;n queremos compartir la experiencia en los primeros pasos en R.
Iniciando con una secci#243;n de consideraciones sobre la instalaci#243;n de SQL Server 2016 con R. (Installing SQL Server 2016 with R Services)
Seguido por una secci#243;n de uso de codigo R en Transact-SQL (Using R Code in Transact-SQL)
Cerraremos la sesi#243;n con una demostraci#243;n de ejemplo.
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: Professional Development
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: Enterprise Database Administration Deployment
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: Analytics and Visualization
En esta sesi#243;n, veremos los componentes del Microsoft R Server y c#243;mo lo podemos integrar en las soluciones de an#225;lisis de datos, espec#237;ficamente su integraci#243;n con PowerBI, SQL Server y otras herramientas Microsoft y de C#243;digo Abierto.
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: Analytics and Visualization
Google Analytics (GA) nos entrega una informaci#243;n del tr#225;fico e interacciones de la audiencia de nuestro sitio web. M#233;tricas de adquisiciones, comportamientos, visitas y conversiones del sitio web. Est#225; informaci#243;n muy extensa y variada, muchas veces es extremadamente dif#237;cil de analizar y visualizar. Power BI nos ofrece una integraci#243;n a GA f#225;cil y rapida, pero m#225;s importante a#250;n, nos ofrece las herramientas de an#225;lisis (posibilidad de realizar metricas, filtros, relaciones, etc.) y visualizaci#243;n del contenido de la informaci#243;n proporcionada por GA. La elaboraci#243;n de dashboard y su governance en Power BI es un gran logro y que todo usuario al menos deber#237;a conocer.
Event Date: 23-04-2016 - Session time: 16:00:00 - Track: BI Platform Architecture, Development Administration