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AWS EMEA Webinars

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  • Deep Dive: Amazon Redshift for Big Data Analytics Deep Dive: Amazon Redshift for Big Data Analytics Ian Meyers, Sr. Mgr Solutions Architecture, AWS & Zach Christopherson, Database Engineer, AWS Live 60 mins
    Analysing big data quickly and efficiently requires a data warehouse optimised to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyse big data for a fraction of the cost of traditional data warehouses. By following a few best practices, you can take advantage of Amazon Redshift’s columnar technology and parallel processing capabilities to minimize I/O and deliver high throughput and query performance. This webinar will cover techniques to load data efficiently, design optimal schemas and tune query and database performance.

    Learning Objectives:
    • Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
    • Learn how to migrate from existing data warehouses, optimise schemas and load data efficiently
    • Learn best practices for managing workload, tuning your queries and using Amazon Redshift's interleaved sorting features

    Who Should Attend:
    • Data Warehouse Developers, Big Data Architects, BI Managers and Data Engineers

    Other sessions on the AWS Big Data Webinar Day - 28 September:

    10:00 - 11:00 GMT | Getting Started with Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221047?utm_campaign=Brighttalk

    11:15 - 12:15 GMT | Architectural Patterns for Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221063?utm_campaign=Brighttalk

    12:30 - 13:30 GMT | Building Big Data Solutions with Amazon EMR and Amazon Redshift
    Register » https://www.brighttalk.com/webcast/9019/221145?utm_campaign=Brighttalk
  • Building Big Data Solutions with Amazon EMR and Amazon Redshift Building Big Data Solutions with Amazon EMR and Amazon Redshift Rahul Pathak, Amazon EMR & Ian Meyers, Solutions Architecture Senior Manager, AWS Recorded: Sep 28 2016 48 mins
    Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organisations.

    Using a combination of Amazon EMR, a managed Hadoop framework and Amazon Redshift, a managed petabyte-scale data warehouse, organisations can effectively address many of these requirements.

    In this webinar, we will show how organisations are using Amazon EMR and Amazon Redshift to build more agile and scalable architectures for big data. We will look into how you can leverage Spark and Presto running on Amazon EMR, to address multiple data processing requirements. We will also share best practices and common use cases to integrate Amazon EMR and Amazon Redshift.

    Learning Objectives:
    • Best practices for building a big data architecture that includes Amazon EMR and Amazon Redshift
    • Understand how to use technologies such Amazon EMR, Presto and Spark to complement your data warehousing environment
    • Learn key use cases for Amazon EMR and Amazon Redshift

    Who Should Attend:
    • Data architects, Data management professionals, Data warehousing professionals, BI professionals


    Other sessions on the AWS Big Data Webinar Day - 28 September:

    10:00 - 11:00 GMT | Getting Started with Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221047?utm_campaign=Brighttalk

    11:15 - 12:15 GMT | Architectural Patterns for Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221063?utm_campaign=Brighttalk

    13:45 - 14:45 GMT | Deep Dive: Amazon Redshift for Big Data Analytics
    Register » https://www.brighttalk.com/webcast/9019/221409?utm_campaign=Brighttalk
  • Architectural Patterns for Big Data on AWS Architectural Patterns for Big Data on AWS Ian Massingham, Chief Evangelist - Europe, Middle East & Africa (EMEA) Recorded: Sep 28 2016 52 mins
    With an ever-increasing set of technologies to process big data, organisations often struggle to understand how to build scalable and cost-effective big data applications. This webinar will help you choose the right technology to support each stage based on key criteria including data structure, design patterns and best practices.

    Learning Objectives:
    • Understand key AWS big data services including Amazon S3, Amazon EMR, Amazon Kinesis and Amazon Redshift
    • Learn architectural patterns for big data
    • Hear best practices for building big data applications on AWS

    Who Should Attend:
    • Data architects, data scientists and developers

    Other sessions on the AWS Big Data Webinar Day - 28 September:

    10:00 - 11:00 GMT | Getting Started with Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221047?utm_campaign=Brighttalk

    12:30 - 13:30 GMT | Building Big Data Solutions with Amazon EMR and Amazon Redshift
    Register » https://www.brighttalk.com/webcast/9019/221145?utm_campaign=Brighttalk

    13:45 - 14:45 GMT | Deep Dive: Amazon Redshift for Big Data Analytics
    Register » https://www.brighttalk.com/webcast/9019/221409?utm_campaign=Brighttalk
  • Getting Started with Big Data on AWS Getting Started with Big Data on AWS Ian Massingham, Chief Evangelist - Europe, Middle East & Africa (EMEA) Recorded: Sep 28 2016 49 mins
    With hundreds of new and sometimes disparate tools, it’s hard to keep pace.

    Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure and deploy your big data applications. Attend this webinar to get an overview of the different big data options available in the AWS Cloud – including popular big data frameworks such as Hadoop, Spark, NoSQL databases, and more. Learn about ideal use cases, and cases to avoid, performance, interfaces and more. Finally, learn how you can build valuable applications with a real-life example.

    Learning Objectives:
    • Learn about big data tools available at AWS
    • Understand ideal use cases
    • Learn some of the key considerations such as performance, scalability, elasticity and availability, when selecting big data tools

    Who Should Attend:
    • Data architects, data scientists and developers

    Other sessions on the AWS Big Data Webinar Day - 28 September:

    11:15 - 12:15 GMT | Architectural Patterns for Big Data on AWS
    Register » https://www.brighttalk.com/webcast/9019/221063?utm_campaign=Brighttalk

    12:30 - 13:30 GMT | Building Big Data Solutions with Amazon EMR and Amazon Redshift
    Register » https://www.brighttalk.com/webcast/9019/221145?utm_campaign=Brighttalk

    13:45 - 14:45 GMT | Deep Dive: Amazon Redshift for Big Data Analytics
    Register » https://www.brighttalk.com/webcast/9019/221409?utm_campaign=Brighttalk
  • Ask an Architect - Virtual Office Hours Ask an Architect - Virtual Office Hours Paul Maddox, Solutions Architect Recorded: Jun 16 2016 61 mins
    The Ask an Architect Virtual Office Hours hours are designed to answer Cloud Computing questions from the comfort of your own home. You can pre-submit your questions during the registration process or you can dial-in in one of the pre-scheduled sessions, where you will be able to submit your question via chat. From technical advice to just getting started, this series gives you the opportunity to get in touch directly with local AWS experts.
    Register to attend the AWS Summit here: https://awssummit.london/
  • Deliver Analytics with Spotfire on Amazon Web Services Deliver Analytics with Spotfire on Amazon Web Services Ian Meyers, Will Heffernan Recorded: Jun 8 2016 60 mins
    The TIBCO Spotfire Analytics Platform in AWS Marketplace provides a complete data analysis environment in a pay-as-you-go pricing model, with no up-front costs. In just a few minutes you can create data visualisations, dashboards and mashups from your Amazon Redshift, RDS or EMR sources, with no data limits. The platform also offers new features for high-availability and fault tolerance.

    Topics covered in this webinar, which includes live demonstrations and a live Q&A, are:
    •Overview of the AWS big data platform
    •Building a data warehouse with Amazon Redshift
    •Launching Spotfire for AWS in AWS Marketplace
    •Connecting to Amazon Redshift and other data sources
    •Building dashboards, sharing them across your organisation and achieving a single, holistic view of your data
  • Ask an Architect - Virtual Office Hours Ask an Architect - Virtual Office Hours Stanislav Vonholsky, Solutions Architect Recorded: Jun 2 2016 59 mins
    The Ask an Architect (SA) Virtual Office Hours hours are designed to answer Cloud Computing questions from the comfort of your own home. You can pre-submit your questions during the registration process or you can dial-in in one of the pre-scheduled sessions, where you will be able to submit your question via chat. From technical advice to just getting started, this series gives you the opportunity to get in touch directly with local AWS experts.

    A few things to keep in mind...
    - Please note that this is a time when you can get general technical guidance; if you require extensive or urgent support, please contact AWS Technical Support >> https://aws.amazon.com/contact-us/
    - If your question is not answered during the live session, we will get back to you afterwards via e-mail
    - Did you know that we already have a repository of answers written by AWS architects? Check if the answer to your question is not already on the AWS Answers webpage >> http://aws.amazon.com/answers/
  • Deploying and Scaling Web Application with AWS Elastic Beanstalk Deploying and Scaling Web Application with AWS Elastic Beanstalk Jesper Söderlund and Abhishek Singh Recorded: May 26 2016 58 mins
    Want to easily deploy your Node.js, Ruby, Python, .NET, Tomcat, PHP or Docker web applications to AWS? AWS Elastic Beanstalk is a service that makes it easy to deploy, scale, and manage your web applications on AWS by providing preconfigured application stacks and managing the underlying infrastructure on your behalf. You simply select the application stack you want and upload your code to get started. This webinar will familiarize you with how to deploy your web application to AWS using AWS Elastic Beanstalk (EB). We will walk through the steps necessary to debug, test and scale your application to handle millions of web requests. Also, you will learn about deployment options, cost management, and ongoing monitoring and maintenance.

    Learning Objectives:
    • Understand the benefits of AWS Elastic Beanstalk versus do-it-yourself
    • Deploy a sample Node.js application using the Elastic Beanstalk command line interface
    • Modify application stack configuration and extend your application to use additional AWS resources (e.g.: DynamoDB, SNS, etc.)
    • Debug, load test, and scale the sample application to handle millions of web requests • Use deployment options available for zero downtime deployments (in-place and blug/green)
    • Use tags for cost management
    • Set up alarms to monitor you running applications
  • Building Scalable Web Apps on AWS Building Scalable Web Apps on AWS Jesper Söderlund and Ian Massingham Recorded: May 26 2016 44 mins
    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 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.
  • Delivering Modern Operations on AWS Delivering Modern Operations on AWS Manish Kalra Director of Product Marketing, David Cooper Product Manager, Partners and Integrations Recorded: May 25 2016 27 mins
    Amazon Web Services has single handedly altered the IT landscape. The ways of monitoring legacy on-premise environments cannot be applied to the dynamic nature of a cloud-based IT infrastructure. To innovate in the cloud and effectively monitor this new infrastructure model, a modern approach is required. Join the experts from PagerDuty as they discuss how how to build a modern ops environment for workloads running on AWS.

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