BIG Call - April 2012

Pam Goodfellow, Stacie Severs
Consumer insights and analysis in less than 20 minutes
Apr 19 2012
20 mins
BIG Call - April 2012
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  • Live and recorded (1022)
  • Upcoming (39)
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  • Tras crear un prototipo inicial de su aplicación para una vista previa limitada ya es hora de que el equipo pase a consolidar la arquitectura haciéndola más robusta y tolerante a los fallos antes de lanzarla oficialmente al público final.

    En este capítulo se tratan conceptos de la infraestructura de AWS tales como regiones y zonas de disponibilidad; además, se explica cómo utilizar tales características para incrementar la tolerancia de la aplicación a los fallos.

    Servicios y características tratados
    •Conceptos clave sobre infraestructura (regiones y zonas de disponibilidad)
    •Equilibro de carga elástico (Elastic Load Balancing)
    •Amazon RDS

    Demostración
    •Creación de una AMI basada en una instancia en ejecución
    •Creación y configuración de un equilibrador de carga elástico
    •Zonas de disponibilidad múltiples con Amazon RDS
    •Alarmas con Amazon CloudWatch
  • Una vez expandida con éxito la capacidad del centro de datos a Amazon Web Services para los entornos de desarrollo y prueba, el equipo de IT se enfrenta a un nuevo reto en cuanto a la capacidad, es decir, cómo almacenar la cada vez mayor cantidad de datos generados por las aplicaciones empresariales y mantener los costes a la baja. Además, también se enfrentan al reto de mantener copias de seguridad de esos datos de manera adecuada.

    Este capítulo aborda ambas cuestiones con servicios como Amazon S3 y Amazon Glacier.

    Demostración:

    •AWS Storage Gateway
    •Datos de Amazon S3 a Amazon Glacier

    Servicios y características tratados:
    •Amazon S3
    •Amazon Glacier
    •AWS Storage Gateway
    •AWS Import / Export
  • Join backup and recovery experts to find out how to build your backup and recovery requirements checklist. By the end of this session, you’ll learn how you can:

    -Cut storage requirements by up to 80%
    -Save on storage costs and performance hits to your network.
    -Leverage near-instant recovery technology for protected virtual machines or servers.
    -Automate application-aware backups and testing for data corruption.
  • Questo è il primo episodio di una serie di webinar che illustreranno le diverse modalità in cui AWS viene utilizzato dai team di sviluppo agili. Tutti gli episodi faranno riferimento a una startup impegnata nell'apertura di una nuova area di business, illustrando i vantaggi offerti dall'utilizzo di AWS. La startup puo' essere una nuova realtà o un centro di innovazione all'interno di una azienda esistente, ad esempio per seguire il lancio di un nuovo prodotto.

    In questo episodio vengono descritti i principali vantaggi di AWS per le startup e i team IT agili, soffermandosi su come il team abbia sviluppato rapidamente un prototipo funzionante utilizzando i diversi servizi offerti dalla piattaforma.
  • Savvy marketers spend a lot of their time analyzing big data, on the lookout for exciting new insights which can translate into action items and strategic advantage. Unfortunately, “giraffes” in their data – portions of data which dominate the rest of it – often hide important insights and lead to erroneous strategic decision making. In this webinar, we will discuss how to spot giraffes in your data and how to make sure they’re not misleading you.
  • A modern Hadoop-based data platform is a combination of multiple source projects brought together, tested, and integrated to create an enterprise-grade platform. In this session, we will review the Hadoop projects required in a Windows Hadoop platform and drill down into Hadoop integration and implementation with Windows, Microsoft Azure, and SQL Server.
  • Join AWS for this Building Scalable Web Applications webinar where we will explain the key architectural patterns used to build applications in the AWS cloud, and how to leverage cloud fundamentals to build highly available, cost effective web-scale applications.

    You will also learn how to design for elasticity and availability within AWS using a common web architecture as a reference point and discuss strategies for scaling, security, application management and global reach. If you want to know how to make your applications truly scale then join this webinar to learn more.

    Reasons to attend:

    • Understand the architectural properties of powerful, scalable and highly available applications in the Amazon cloud
    • Learn about Amazon regions and services that operate within them that enable you to leverage cloud scaling
    • Discover how to manage data with services like Amazon S3, Amazon DynamoDB and Amazon Elastic MapReduce to remove constraints from your applications as your achieve web-scale data volumes
    • Hear about customer case studies and real-world examples of scaling from a handful of resources to many thousands in response to customer demand

    Who should attend?

    • Developers, operations, engineers and IT architects who want to learn how to get the best from their applications in AWS
  • Impala raises the bar for SQL query performance on Apache Hadoop. With Impala, you can query Hadoop data – including SELECT, JOIN, and aggregate functions – in real time to do BI-style analysis. As a result, Impala makes a Hadoop-based enterprise data hub function like an enterprise data warehouse for native Big Data.
    In this webinar featuring Impala architect Marcel Kornacker, you will explore:

    * How Impala's architecture supports query speed over Hadoop data that not only convincingly exceeds that of Hive, but also that of a proprietary analytic DBMS over its own native columnar format.
    * The current state of, and roadmap for, Impala's analytic SQL functionality.
    * An example configuration and benchmark suite that demonstrate how Impala offers a high level of performance, functionality, and ability to handle a multi-user workload, while retaining Hadoop’s traditional strengths of flexibility and ease of scaling.
  • Impala raises the bar for SQL query performance on Apache Hadoop. With Impala, you can query Hadoop data – including SELECT, JOIN, and aggregate functions – in real time to do BI-style analysis. As a result, Impala makes a Hadoop-based enterprise data hub function like an enterprise data warehouse for native Big Data.
    In this webinar featuring Impala architect Marcel Kornacker, you will explore:

    * How Impala's architecture supports query speed over Hadoop data that not only convincingly exceeds that of Hive, but also that of a proprietary analytic DBMS over its own native columnar format.
    * The current state of, and roadmap for, Impala's analytic SQL functionality.
    * An example configuration and benchmark suite that demonstrate how Impala offers a high level of performance, functionality, and ability to handle a multi-user workload, while retaining Hadoop’s traditional strengths of flexibility and ease of scaling.
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Strategic Alliances ~ Application Development ~ Consumer Research
Prosper is an international business acceleration firm based in the USA.
Since 1990, Prosper has helped its clients reduce costs & grow revenues.

PROSPER BRANDS: BIGresearch® (Syndicated & Custom Consumer Research); Prosper ChinaTM (China Marketing Services & Market Information); Prosper TechnologiesTM (Develops Software as a Service (SaaS) applications including ForecastIQTM and MediaPlanIQTM); Prosper Foundation (Not-for-Profit Supporting Entrepreneurship & Innovation)

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  • Title: BIG Call - April 2012
  • Live at: Apr 19 2012 6:00 pm
  • Presented by: Pam Goodfellow, Stacie Severs
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