Architectural Patterns for Big Data on AWS

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

Recorded Sep 28 2016 52 mins

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Presented by
Ian Massingham, Chief Evangelist - Europe, Middle East & Africa (EMEA)

Presentation preview: Architectural Patterns for Big Data on AWS

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AWS EMEA Webinars

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.

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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.

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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.

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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.

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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)
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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
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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.

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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
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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.
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Architecting Security and Governance Across a Multi-Account Strategy Recorded: May 17 2017 56 mins

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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.

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Jan Metzner, Specialist Solutions Architect IoT/Mobile in EMEA, AWS

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.

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Learning objectives:

- Learn simple steps to build a real-world IoT architecture that serves millions of devices
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In this presentation, Danilo talks about how Amazon AI services can be used to augment device capabilities to make data collection, storage and analytics easier. He also considers how people can start interacting with machines in a more natural way, for example using natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS).

Learning objectives:

- Learn how to design IoT solutions using services such as AWS Greengrass and AWS IoT
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Does meeting stringent compliance requirements keep you up at night? Do you worry about having the right audit trails in place as proof?

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Come to this session to learn how Europol, the Dutch police, Intel Security, and Kaspersky Lab have come together in an unprecedented collaboration of government and private-sector organizations. Open source ransomware code makes it easier to lock victims’ computers and encrypt their data, resulting in an alarming increase of cyber ransom. In response www.nomoreransom.org was created with the additional cooperation of AWS and Barracuda Web Application Firewall. Learn what tools are available to retrieve encrypted data and take a peek under the hood of this mission-critical website in the fight against ransomware. Perhaps because the site opposes ransomware, it has already received a number of attacks. Learn how AWS and Intel worked to rebuff these persistent assaults.

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Steve Turner, Solutions Architect, AWS

With security-relevant services such as AWS Config, VPC Flow Logs, Amazon CloudWatch Events, and AWS Lambda, you now have the ability to automatically respond to and process security events that may occur within your AWS environment. These including prevention, detection, response, and remediation. This session covers the process of automating security event response using various AWS building blocks, gaining confidence in your coverage by proactively testing security monitoring and response effectiveness before anyone else does.

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How Harvard Improves Scalable Cloud Network Security Recorded: Apr 26 2017 53 mins

Leo Zhadanovsky, Thomas Vachon

With constantly evolving threats across the Internet, Harvard University deployed a security network platform to mitigate cyber threats, current and future, to protect institutional and research data. By using multiple geographic locations, best of breed equipment, and network automation, Harvard provides visibility, availability, and multilayer protections for their cloud network. This talk discusses the benefits, considerations, and lessons learned from using their security network platform at the edge of the cloud. Learn how Harvard designed and deployed the platform, utilizing serverless architecture to orchestrate the solution from within to protect their most sensitive data and afford students, faculty, and staff the flexibility of cloud computing.

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Cyber Resiliency – surviving the breach Recorded: Apr 19 2017 58 mins

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In this session, you’ll learn how to setup your AWS environment to avoid a cyber security attack and how to build a cloud specific incident response plan if your organization is breached. Cyber security expert and founder of Alert Logic Misha Govshteyn will share lessons learned from organizations that have protected themselves in AWS and from those that have been breached but quickly resolved their issues and implemented strong controls as a result. Joining Misha will be Sven Skoog, Senior Manager IT Security at Monotype who will discuss the cyber security posture they implemented within the AWS cloud and how they have built a robust process to ensure ongoing protection. Session sponsored by Alert Logic.

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AWS Security Checklist Recorded: Apr 19 2017 36 mins

Andrew Kane, Solutions Architect, AWS

This AWS Security Checklist webinar will help you and your auditors assess the security of your AWS environment in accordance with industry or regulatory standards. This security focused checklist builds on recently revised Operational Checklists for AWS, which helps you evaluate your applications against a list of best practices before deployment.

Learning Objectives:

- Evaluate the ability of AWS services to meet information security objectives and ensure future deployments within the AWS cloud are done in a secure and compliant way
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Getting Started with AWS Security Recorded: Apr 12 2017 32 mins

Ian Massingham, Chief Evangelist EMEA, AWS

Learn how you can help maintain control of your environment by choosing the right AWS security tools with this introductory webinar. We will show you how AWS Identity and Access Management (IAM), AWS Config Rules, and AWS Cloud Trail can help you maintain that control. You will discover how to track changes, monitor compliance, and keep an audit record of API requests.

Learning Objectives:

- Learn what IAM is and how to leverage it appropriately.
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