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What is AWS?

Are you new to cloud computing and would like to learn more about Amazon Web Services? If you intend to implement a project and would like to discover the basics of the AWS cloud, or if you are a business looking to evaluate cloud computing, attend this complimentary webinar to learn about:

• The history of AWS and how a global online retailer got into cloud computing
• The concepts of utility computing and elasticity and why these are important to a cost-effective, scalable and reliable IT architecture
• The AWS service portfolio and the global footprint on which it is delivered
• A model reference architecture and use cases to help you relate cloud based infrastructure to your own needs
• An overview of the security model operated by AWS
• Best practices for getting started in the AWS cloud

No experience is necessary, so join us for a high level overview of the

Amazon cloud services, and a discussion of how cloud computing can help accelerate innovation in your company.

Reasons to attend:
• Understand the basics of AWS cloud services
• Hear about the history of AWS
• Discover more about cloud computing and the basics of the AWS cloud including EC2, S3 and RDS
• Gain an understanding of the fundamental concepts of utility, elastic computing
• Learn how you can implement services from AWS to build efficient, cost-effective and reliable architectures

Who should attend:
• Anyone who is new to cloud computing and is looking for an introduction to the AWS Cloud
• Business managers who would like to gain a greater understanding of cloud technology
• Developers, IT Managers or Business owners seeking to understand the basics of AWS
Recorded Oct 1 2013 60 mins
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Presented by
James Brown, Business Development Manager, AWS
Presentation preview: What is AWS?
  • Channel
  • Channel profile
  • Deep Dive on Apache MXNet with Python Recorded: Dec 13 2017 59 mins
    Julien Simon, AI Technical Evangelist, AWS EMEA
    In recent months, Artificial Intelligence has become the hottest topic in the IT industry. In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning, and how AWS customers use it to solve complex problems such as computer vision and natural language processing. Then, using Python code, we’ll show you how to start writing and training models using Apache MXNet, a popular library for Deep Learning which supports both CPUs and GPUs. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art, pre-trained models.
  • Optimising SAP HANA on AWS Recorded: Dec 7 2017 60 mins
    Adam Hill, Specialist Solutions Architect - SAP, AWS EMEA
    Join this webinar to find out how Amazon Web Services (AWS) provides hyperscale cloud infrastructure for running SAP HANA. You will learn about the features of SAP and AWS that support multi-terabyte OLTP and OLAP workloads on HANA, which can be deployed quickly and simply using our QuickStart guides. Additionally, you will discover how to deploy large SAP HANA estates on AWS based on multiple migration options, and how to leverage AWS services to build flexible, redundant, high-availability architectures.

    Learning Objectives:

    - Discover which SAP HANA solutions are supported on AWS
    - Learn how to rapidly scale up and out with SAP HANA on AWS
    - Gain the knowledge needed to deploy SAP HANA on AWS with confidence
    - Find out how to optimise SAP HANA workloads for AWS
  • Best Practices for Building Your Data Lake on AWS Recorded: Nov 22 2017 62 mins
    Ian Robinson, Specialist SA: Analytics, EMEA, AWS
    Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.

    Join this webinar to discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
  • Building Smart Applications with Amazon Machine Learning Recorded: Nov 15 2017 54 mins
    Neeraj Kumar, Enterprise Solutions Architect, AWS
    Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production, and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT, and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.
  • Deploying SAP Solutions on AWS Recorded: Nov 8 2017 61 mins
    John Studdert, Partner Solutions Architect - SAP, EMEA, Amazon Web Services
    Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.

    Learning Objectives:

    - Overview of SAP solutions supported on AWS
    - Overview of core AWS services for SAP workloads
    - Benefits of deploying SAP on AWS
    - Examples of how customers are running SAP workloads on AWS
  • AI & Deep Learning At Amazon Recorded: Nov 1 2017 46 mins
    Adrian Hornsby, Technical Evangelist, AWS
    Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
  • Deep Dive on AWS Lambda Recorded: Oct 25 2017 85 mins
    Heitor Lessa, Specialist Solutions Architect, AWS
    Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or backend service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app. Join us on the day and take your serverless computing strategy to the next level.
  • Serverless Architectural Patterns and Best Practices Recorded: Oct 18 2017 46 mins
    Danilo Poccia, Technical Evangelist, AWS
    If you want to deploy your workloads without the burden of managing servers or operating systems, this webinar is for you. During the session, we will explore four re-usable serverless architectural patterns for supporting web apps, stream processing apps, batch processing apps, and automation apps. For each pattern, we provide a TCO analysis and comparison with the server-based equivalent. We also discuss the considerations and nuances associated with each pattern, with AWS customers sharing their experiences of deploying them. The information covered in the webinar is relevant for architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve agility.
  • SAP Solutions on AWS Overview Recorded: Oct 11 2017 44 mins
    Allan Knudsen, Business Development Manager, AWS
    Many of the world’s largest enterprises are replacing their traditional SAP server environments with SAP running in the AWS Cloud. As well as increasing business agility and scalability, our cloud platform significantly reduces SAP infrastructure and support costs, simplifies operations and contributes directly to the bottom line.

    In this overview webinar, you will learn about:

    • How Fortune 50 companies are migrating their SAP workloads to AWS
    • How rapid resource provisioning in the cloud can help enterprises be more agile
    • How IT, and specifically SAP running in the cloud, can become a competitive differentiator, not just a cost centre
    • Typical SAP solutions and use cases deployed on AWS
    • Methods for accelerating SAP HANA:registered: implementations — break barriers and move to SAP HANA in less than 48 hours
  • Deploying your Data Warehouse on AWS Recorded: Oct 11 2017 58 mins
    Ian Meyers, Head of CAT, DBS Outbound & Customer Prgrm, AWS
    Data warehousing is a critical component for analysing and extracting actionable insights from your data. Amazon Redshift allows you to deploy a scalable data warehouse in a matter minutes and start to analyse your data right away using your existing business intelligence tools. It’s a fast, fully-managed, and cost-effective data warehousing system. You can analyse all your data using standard SQL and your existing Business Intelligence (BI) tools. Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. In this, you will learn how to migrate from existing data warehouses, optimise schemas and load data efficiently. We will also cover analytics tools to help you build visualisations, perform ad-hoc analysis and quickly get business insights from your data.

    Learning Objectives:

    • Discover best practices for building a data warehouse using Amazon Redshift

    • Learn to use Amazon QuickSight for Business Intelligence and AWS Glue for ETL.
  • Microsoft SQL Server Deep Dive Recorded: Oct 4 2017 54 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    Learn how SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Discover 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.
  • Getting Started with Managed Database Services on AWS Recorded: Sep 20 2017 61 mins
    Ian Robinson, Specialist SA: Analytics, EMEA, AWS
    Amazon Web Services (AWS) offers a wide range of database options to fit your application requirements. From database services that are fully managed and that can be launched in minutes with just a few clicks to self-managed databases running on EC2. AWS managed database services include Amazon Relational Database Service (Amazon RDS), with support for six commonly used database engines, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database, Amazon DynamoDB, a NoSQL database service or Amazon Redshift, a petabyte-scale data warehouse service. AWS also provides the AWS Database Migration Service, a service which makes it easy and inexpensive to migrate your databases to AWS cloud.

    In this webinar, we take a closer look at the AWS database offerings and learn how to quickly select, set up, operate, and scale your database in the cloud.

    Learning Objectives:

    • Gain insights into the AWS database offering and know which to select for your workload.

    • Learn how the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) can facilitate and simplify migrating your business critical applications to Amazon Web Services.

    • Learn how Amazon DynamoDB Accelerator (DAX) can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second.

    • Hear from our partners like Version1 and Clckwrk who can help you in your journey towards Database freedom.
  • Best Practices for Microsoft Architectures on AWS Recorded: Sep 6 2017 47 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    Learn best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability.
  • Getting Started with Windows on AWS Recorded: Jul 20 2017 46 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    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 Recorded: Jul 20 2017 45 mins
    Julien Lepine, Principal Solutions Architect, Amazon Web Services
    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 Recorded: Jun 6 2017 29 mins
    Mike Morain, AWS Marketplace Solutions Architect
    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 Recorded: May 31 2017 39 mins
    Danilo Poccia, Technical Evangelist, AWS
    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 Recorded: May 31 2017 37 mins
    Ian Massingham, Head of EMEA Evangelism, AWS
    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 Recorded: May 31 2017 38 mins
    Steve Turner, Solutions Architect, AWS
    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 Recorded: May 24 2017 34 mins
    Neeraj Kumar, Solutions Architect, AWS
    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
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AWS EMEA Webinars

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  • Live at: Oct 1 2013 9:00 am
  • Presented by: James Brown, Business Development Manager, AWS
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