Architectural Patterns for Big Data on AWS

Level: Introductory

The infinite computing power of cloud is creating new business models and driving operational efficiencies in every sector. But how can you extend cloud capabilities to the edge? Join this webinar for real-world examples of how AWS customers are exploiting both IoT data and the power of the cloud. We'll also discuss how you can deploy analytics and machine learning at the edge through AWS building blocks such as AWS Greengrass and Amazon Sagemaker.

Customer use cases to be explored include:

Nokia optimises communications to oil platforms by processing data nearer to the source
Stanley Black&Decker performs predictive maintenance by identifying faulty parts before they fail
Pentair overcomes intermittent connectivity issues to automate its water filtration plants


Who Should Attend: Business Directors, Business Leaders, Project Managers, IT Managers, Business Consultants, Heads of Innovation, Data Scientists and Product Marketeers.

Security by design examines a wide range of issues, such as: control responsibilities; the automation of security baselines; the configuration of security; and the auditing of controls for AWS customer infrastructure, operating systems, services and applications. This standardized, automated, prescriptive and repeatable design can be deployed for common use cases, security standards and audit requirements across multiple industries and workloads.

This webinar will examine concepts for managing sensitive data in AWS. For example, using tools to encrypt client access with AWS Certificate Manager; secret management with AWS Systems Manager Parameter Store and its integration with deployment pipelines; and how to encrypt data at rest to ensure privacy.

The General Data Protection Regulation (GDPR) becomes enforceable on May 25, 2018. Complying with GDPR can be challenging, but AWS can guide you through the process. This webinar is hosted by a GDPR compliance expert who will explain the automation mechanisms AWS offers its customers to help with their compliance programs. Specific GDPR articles will be matched to tooling, so knowledge of both will be helpful in understanding the material. A Q&A will follow.

Level: Introductory

In this webinar, you'll learn how to create security workspaces for multiple teams through your AWS account. Discover how IAM works and find out how it integrates with AWS services. In addition, learn how AWS Config rules and AWS Cloud Trial can help you identify and rectify misconfiguration issues quickly and effectively.

Who Should Attend: Technical security professionals, such as DevOps engineers and architects, with a basic understanding of cloud computing concepts and AWS services, but who want further insight into best practices for securing workloads in AWS.

In this webinar, you will learn how to easily add Amazon AI services to your own applications. Find out how to access image and video analysis, text to speech, speech to text, translation, natural language processing: all of which are just an API call away.

Through code-level demos of Amazon SageMaker, Amazon Translate, Amazon Polly, Amazon Transcribe, Amazon Comprehend, Amazon Rekognition, we'll show you how to quickly get started with these services, with zero AI expertise required.

After the successful launch of AWS re:Start in London, the program is coming to Manchester in March. Join us to hear to from Princes Trust and AWS about the importance of this initiative in the region and how your company can get involved to give a young person a potentially life-changing opportunity and in turn help close the digital skills gap.

In this webinar, discover how AWS customers are using our AI solutions to transform their companies and their products. We'll look at multiple use cases from different industries (media, finance, travel, retail, consumer applications, security and law enforcement), both in the enterprise and the startup settings. We'll also overview the growing family of Amazon AI services and look at how they can help you bring innovative AI capabilities to your own applications.

You will hear customer examples, including:

- How Expedia uses Deep Learning to automatically select the best images to display on hotel pages
- How CSPAN uses Amazon Rekognition to identify 90,000+ speakers in their video archives
- How Duolingo uses Amazon Polly to generate lifelike audio clips to help students learn foreign languages
- How Hotels.com uses Amazon Translate for automatic website translation

Who Should Attend: Business Directors, Business Leaders, Project Managers, IT Managers, Business Consultants, Heads of Innovation, Data Scientists and Product Marketeers.

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.

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

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.

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.

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

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.

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.

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.

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

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.

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.