Hi [[ session.user.profile.firstName ]]

AWS EMEA Webinars

  • Date
  • Rating
  • Views
  • Getting Started with Windows on AWS
    Getting Started with Windows on AWS Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Jul 20 2017 46 mins
    In our first Windows webinar, find out about the benefits of migrating your Windows workloads to AWS. During the session, we will explain why AWS makes your Windows applications faster, more reliable and more secure. He will also talk about how to bring your own license (BYOL), how to architect, deploy, and manage your Windows platforms on AWS.
  • Getting Started with Microsoft SQL Server on AWS
    Getting Started with Microsoft SQL Server on AWS Julien Lepine, Principal Solutions Architect, Amazon Web Services Recorded: Jul 20 2017 45 mins
    In this webinar, we will explain how running SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Learn how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.
  • Software Security and Best Practices in the AWS Cloud
    Software Security and Best Practices in the AWS Cloud Mike Morain, AWS Marketplace Solutions Architect Recorded: Jun 6 2017 29 mins
    Meet security-sensitive requirements faster. AWS provides several security capabilities and services to increase privacy and control network access that enable private or dedicated connections from your on-premises environment. In addition to the already secure AWS Cloud, AWS Marketplace offers industry-leading solutions to help you secure operating systems, platforms, applications and data that can integrate with existing controls in your AWS Cloud and hybrid environments.

    Learning objectives:

    - Learn about Marketplace security policies to ensure AWS Marketplace product security (Managed Catalog Operations)
    - Explore Security applications: vendor-enforced best-practices
    - Augmenting AWS Security offerings with Marketplace products.
  • Think IoT and not Servers - the Power of the Serverless Analytics IoT platform
    Think IoT and not Servers - the Power of the Serverless Analytics IoT platform Danilo Poccia, Technical Evangelist, AWS Recorded: May 31 2017 39 mins
    Scaling IoT platforms to support production workloads can be difficult and time consuming. In this webinar, we’ll see how to design real-world IoT applications with a serverless back end. This kind of architecture can grow from very few to virtually unlimited users without any infrastructure or servers to manage. In particular, we’ll see an example of data collection from multiple IoT sensors, and how to process streaming data and present the results in a consolidated web dashboard.

    Learning objectives:

    - Learn how to implement data collection from IoT sensors using service such as AWS IoT
    - Leverage the Amazon Kinesis platform to analyse streaming data
    - Understand best practices to design a serverless architecture to process and consolidate results
  • AWS Security Best Practices
    AWS Security Best Practices Ian Massingham, Head of EMEA Evangelism, AWS Recorded: May 31 2017 37 mins
    AWS provides a range of security services and features that AWS customers can use to secure their content and applications and meet their own specific business requirements for security. This presentation focuses on how you can make use of AWS security features to meet your own organisation's security and compliance objectives.
  • Using Artificial Intelligence to Enhance Your Customer Experience
    Using Artificial Intelligence to Enhance Your Customer Experience Steve Turner, Solutions Architect, AWS Recorded: May 31 2017 38 mins
    Artificial Intelligence (AI) is enhancing many of the services that we interact with today. It can improve the customer experience of many services to make them more accessible, whilst providing information faster in a format that feels more natural.

    AWS provides a collection of highly scalable, pre-trained and pre-tuned managed AI services that you can adopt without any previous artificial intelligence or deep learning knowledge. In this webinar, Steve explains how to implement each of these services to improve the user journey for a flight booking and check-in system.

    The AWS solutions discussed here include Amazon Polly, which provides audio instructions for sight-impaired users and Amazon Rekognition, which provides an additional layer of security during the check-in process, matching users with customer data on file. Finally, Amazon Lex is used to enable customers to make future flight bookings using only their voices.

    Learning objectives:

    - Understand why you may wish to use AI in your applications today
    - Identify the common AI challenges and practical use cases for Amazon AI services
    - Implement Amazon AI services without a PhD or Data Science background
  • Generating Insights from IoT Data Using Amazon Machine Learning
    Generating Insights from IoT Data Using Amazon Machine Learning Neeraj Kumar, Solutions Architect, AWS Recorded: May 24 2017 34 mins
    If you knew the state of everything in the world, and could apply logic on top of the data, what problems could you solve?

    AWS IoT Services help you collect and send data to the cloud, make it easy to load and analyse that information, and provide the ability to manage your devices, so you can focus on developing applications that fit your needs.

    Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualisation tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.

    In this webinar, Neeraj explains how you can use AWS IoT and Amazon Machine Learning together to build smart IoT applications. We will demonstrate how to setup Amazon Machine Learning, create and train Machine Learning models for your applications. We will then use these models in our IoT Applications, in real time.

    Learning objectives:

    - Understand why you may use Amazon Machine Learning with IoT and how to set it up.
    - Understand how to use IoT Rules Engine
  • Architecting Security and Governance Across a Multi-Account Strategy
    Architecting Security and Governance Across a Multi-Account Strategy Dave Walker, Specialist Solutions Architect – Security and Compliance, AWS Recorded: May 17 2017 56 mins
    Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance.

    At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today.
  • Securing Enterprise Big Data workloads
    Securing Enterprise Big Data workloads Pratim Das, Specialist Solutions Architect – Analytics, AWS Recorded: May 17 2017 33 mins
    Security of big data workloads in a hybrid IT environment often comes as an afterthought. This session discusses how enterprises can architect secure, big-data workloads on AWS. We cover the application of authentication, authorization, encryption, and additional security principles and mechanisms to workloads leveraging Amazon Elastic MapReduce (EMR) and Amazon Redshift.
  • 3 Easy Steps to Building Large-Scale IoT Architectures
    3 Easy Steps to Building Large-Scale IoT Architectures Jan Metzner, Specialist Solutions Architect IoT/Mobile in EMEA, AWS Recorded: May 10 2017 30 mins
    You have already started connecting your devices to AWS IoT. You can control them from the cloud. And you can collect, store and analyse data from all your devices in the cloud. So far so good, but you now need to build an architecture that will serve millions of users and devices concurrently.

    In this session, Jan will explain how you can build a real world IoT architecture that serves millions of devices. The talk will focus on user and device onboarding, device and user access management, message exchange and end user access to live and historical data stored in the cloud.

    Learning objectives:

    - Learn simple steps to build a real-world IoT architecture that serves millions of devices
    - Understand how to onboard and manage users and IoT devices and to access live and historial data in the cloud

Embed in website or blog