AWS Summit Online
May 13 Summit Now Available On-Demand

Bringing technologists together to connect, collaborate, and learn about AWS

The AWS Summit Online is a free online event designed to bring the cloud computing community together to connect, collaborate, and learn about AWS. Learn how to choose the right database, modernize your data warehouse, and drive digital transformation using AI. Sessions are delivered by AWS subject matter experts and whether you are new to the cloud or an experienced user, you can learn something new at the AWS Summit Online.

What to Expect

Opening Keynote
Hear the very latest in cloud vision during the Opening Keynote by Dr. Werner Vogels, Chief Technology Officer at Amazon.com.

35+ Sessions 
Learn from AWS experts to accelerate your cloud journey and deep dive into architecture and code. Based on your business needs and technical expertise, build your own agenda from a broad range of topics: AI, machine learning, data and analytics, security, and more.

Builders' Zone & Technical Demos
Dive deep into technical stacks, learn how AWS experts and community heroes have helped solve real-world problems for customers, try out demos with step-by-step guides, and walk away with the ability to implement these or similar solutions in your own organization.

Skills Zone & Hands-On Labs
Practice and build your AWS skills right here, right now, with the Skills Zone. Learn from a series of Hands-On labs, chat with our trainers online to understand how to get started, get certified, and build your own learning path moving forward.

Ask the Experts Live Q&A
Connect and dive deep with AWS business and technical experts through 1-to-1 live chats at each breakout session and throughout the day.

AWS DeepRacer League Summit Race
Compete for prizes and meet fellow machine learning enthusiasts online. Racers will have the opportunity to join the DeepRacer online workshop and have a 1-to-1 chat with our machine-learning experts.

Startup Loft
Learn more about the AWS Activate program, which aims to educate startups on how to get access to resources and quickly get started on AWS. Be inspired by startup success stories and hear from our startup experts.

Work with AWS Partners
Discover how AWS Partners can help you unlock agility and innovation for your business. Find the right partner for your organization as you learn about the AWS Partner Network (APN) program and chat with our partner team.

Resource Center
Learn more by downloading resources around AWS Marketplace, AWS Partner Network, and more. Gain access to short tutorials, whitepapers, reference architectures, and customer case studies to expand your knowledge of AWS.

Summit Trivia & Badges
Unlock higher knowledge levels and collect badges throughout the conference by watching the sessions and participating in session quizzes.

AI & Machine Learning
AI & Machine Learning
Big Data & Analytics
Big Data & Analytics
Containers
Containers
App Modernization
App Modernization
Serverless
Serverless
Migration & Modernisation
Migration & Modernization
Security
Security
Dr. Werner Vogels
Dr. Werner Vogels, Chief Technology Officer, Amazon.com

Dr. Werner Vogels is Chief Technology Officer at Amazon.com, where he is responsible for driving the company's customer-centric technology vision.

As one of the forces behind Amazon's approach to cloud computing, he is passionate about helping young businesses reach global scale, and transforming enterprises into fast-moving digital organizations.

Vogels joined Amazon in 2004 from Cornell University, where he was a distributed systems researcher. He has held technology leadership positions in companies that handle the transition of academic technology into industry. Vogels holds a PhD from the Vrije Universiteit in Amsterdam and has authored many articles on distributed systems technologies for enterprise computing.

Andy Jassy
Andy Jassy, Chief Executive Officer, Amazon Web Services

Andy Jassy is CEO of Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. Having led AWS since its inception, he’s managed an inventive and nimble team that has delivered more than 165 cloud infrastructure and application services that are used by millions of startup, enterprise, and government customers around the world. Jassy joined Amazon in 1997. Prior to founding AWS, he held various leadership roles across the company. He has an AB from Harvard University and an MBA from Harvard Business School. Jassy serves on the Board of Trustees for Rainier Scholars and as chair of Rainier Prep’s Board of Directors.

Matt Garman
Matt Garman, Vice President, AWS WW Sales and Marketing

Matt Garman joined Amazon in 2006, is currently the Vice President of the Worldwide Sales and Marketing organization in Amazon Web Services (AWS), and also sits on Amazon’s executive leadership S-Team. He has held several leadership positions in AWS over that time.

Matt previously served as Vice President of the Amazon EC2 and Compute Services businesses for AWS for over 10 years. Matt was responsible for P&L, product management, and engineering and operations for all compute and storage services in AWS. He started at Amazon when AWS first launched in 2006 and served as one of the first product managers, helping to launch the initial set of AWS services. Prior to Amazon, he spent time in product management roles at early stage Internet startups.

Matt earned a BS and MS in Industrial Engineering from Stanford University, and an MBA from the Kellogg School of Management at Northwestern University. 

Agenda & Session Description

To help you get the most out of your AWS Summit Online experience we have curated our content to cover a broad range of topics and technical depth. Key topics you can learn about are: artificial intelligence, machine learning, data and analytics, security, building on AWS, migration and modernization, and operations and optimization. 

9:00am Lobby opens
9:30am Opening keynote with Werner Vogels, CTO, Amazon.com
10:30am Breakout sessions (see below) 
1:30pm Fireside Chat with Andy Jassy, CEO, AWS and Matt Garman, VP, AWS
  • Machine Learning - Track 1
  • Machine Learning - Track 2
  • Analytics & Databases
  • Compute & Networking
  • Enterprise
  • Services
  • Modern Application Development - Track 1
  • Modern Application Development - Track 2
  • Security & Storage
  • Machine Learning - Track 1
  • Time Duration Session
    10:30am - 11:10am 40 mins Fraud detection: Using ML to identify and manage fraudulent activities

    Amazon Fraud Detector is a fully managed service that you can use to identify potentially fraudulent online activities, such as online payment fraud and fake accounts. The service uses ML and 20 years of fraud detection expertise to automatically identify potentially fraudulent activity and enable you to can catch more fraud faster. In this session, learn how to use Amazon Fraud Detector to create a fraud detection model with just a few clicks and no prior ML experience. Learn how to implement a customized fraud detection solution for online activities using ML, identify use cases, and implement changes to protect your company and customers.

    Level: 200 - Intermediate
    Track Topic: Artificial Intelligence & Machine Learning
    11:10am - 11:45am 35 mins A path to event sourcing with Amazon MSK

    Event sourcing is an exciting pattern for thinking differently about how to process and store data. With Amazon Managed Streaming for Apache Kafka (Amazon MSK), it’s now even easier for development teams to run and operate applications that are built around event sourcing patterns. In this session, we demonstrate a Java-based personal banking website that uses Amazon MSK, AWS Fargate, and Amazon Elasticsearch Service (Amazon ES) to process data using event sourcing with eventual consistency. We explore the code and review some of the operational characteristics in the AWS Management Console.

    Level: 200 - Intermediate
    Track Topic: Analytics & Databases
    11:45am - 12:05pm 20 mins All things AI/ML: Tying them together

    AWS offers comprehensive services to assist the work of developers, data scientists, and expert ML practitioners. In this session, explore how developers can start building complex multi-functional AI solutions that use reinforcement learning on AWS. We demonstrate these capabilities with a next generation-targeted advertising use case.

    Level: 300 - Advanced
    Track Topic: Artificial Intelligence & Machine Learning
    12:15pm - 1:00pm 45 mins Machine learning ops: DevOps for data science

    Organizations are recognizing the importance of cross-functional expertise and efficient tooling when bringing AI-driven products to market. In this session, learn how to build an end-to-end pipeline for continuous delivery of ML models. Also learn how to automate MLOps with Amazon SageMaker and serverless workflows to build, deploy, and monitor models at scale to maximize the business value to your organization.

    Level: 400 - Expert
    Track Topic: Artificial Intelligence & Machine Learning
  • Machine Learning - Track 2
  • Time Duration Session
    10:30am - 11:10am 40 mins Streamlining machine learning operations

    Machine learning (ML) workflows are continuous and iterative processes that require adequate tools and practices in order for ML teams to be highly efficient. In this session, we discuss the common challenges faced when using ML systems in production, and we address these challenges by diving deep into the new features introduced for Amazon SageMaker, including Debugger and Model Monitor.

    Level: 200 - Intermediate
    Track Topic: Artificial Intelligence & Machine Learning
    11:10am - 11:50am 40 mins AWS DeepRacer: Train, evaluate, and tune your reinforcement learning model

    In this session, we introduce the basics of reinforcement learning and show you how to apply it to train your own autonomous vehicle models. You also learn how to test them in a virtual car racing scenario powered by AWS DeepRacer. Learn about the single-car time-trial format and the dual-car head-to-head racing challenges in the AWS DeepRacer 3D racing simulator. By the end of this session, you will be able to participate in the AWS DeepRacer League, where you can compete for prizes and meet other machine learning enthusiasts.

    Level: 300 - Advanced
    Track Topic: Artificial Intelligence & Machine Learning
    11:50am - 12:15pm 25 mins

    Best practices for building production-grade deep learning systems


    AWS offers different paths for building and deploying scalable ML solutions. In this session, we dive deep into insights and best practices developed while implementing deep learning-powered applications. Discover how Amazon ML services, with a large number of complementary AWS technologies, provide a great platform from which to implement production-grade solutions, such as recommendation, forecast, and prediction engines.

    Level: 300 - Advanced
    Track Topic: Artificial Intelligence & Machine Learning

    12:30pm - 1:15pm 45 mins The effortless development of custom computer vision models 

    Do you want to use computer vision in your projects, but find the idea of training a custom neural network model daunting? Have you used pre-trained computer vision models, but find that these models don’t cover every aspect of your use case? With Amazon Rekognition Custom Labels, you can easily customize existing computer vision models without needing an expert data scientist. Come learn how to prepare your dataset, customize Amazon Rekognition models with your data, and deploy these models in an application. We also discuss the difference between training computer vision models using Amazon Rekognition Custom Labels and doing so using Amazon SageMaker.

    Level: 300 - Advanced
    Track Topic: Artificial Intelligence & Machine Learning
  • Analytics & Databases
  • Time Duration Session
    10:30am - 11:00am 30 mins Turn data into insights

    Data is incredibly valuable, but extracting it is getting harder as the volume, variety, and velocity of data continues to increase. AWS offers a comprehensive collection of services to store, organize, secure, and analyze your data. Come learn about modern data architectures and the variety of ways that you can analyze your data to find the hidden insights that will help you succeed.

    Level: 200 - Intermediate
    Track Topic: Analytics & Databases

    11:00am - 11:30am 30 mins Purpose-built databases for modern applications

    Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us, and developers are building highly distributed applications using many purpose-built databases. The world is changing, and the categories of databases continue to grow. We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. In response to these needs, developers now have the choice of relational, key-value, wide column, document, in-memory, graph, time-series, and ledger databases. Each solves a specific problem or group of problems. Come learn about AWS purpose-built databases that meet the scale, performance, and manageability requirements of modern applications.

    Level: 300 - Advanced
    Track Topic: Analytics & Databases
    11:30am - 12:00pm 30 mins Database freedom: Break free to save, grow, and innovate

    Hundreds of thousands of customers have broken free from old-guard database providers to run on AWS databases, which provide commercial-grade features at one-tenth the cost. AWS databases merge the flexibility and low cost of open-source databases with the robust enterprise features of commercial databases, freeing teams from the heavy lifting of database administration. In this session, learn how AWS databases were designed to support the scale, performance, and availability demands of modern globally distributed applications with microservices architectures. Discover how AWS databases enable companies to break away from the constraints of legacy database providers and scale, grow, and innovate faster.

    Level: 200 - Intermediate
    Track Topic: Analytics & Databases

    12:15pm - 12:45pm 30 mins

    Modernize your data warehouse

    Migrating an on-premises data warehouse to the cloud is often perceived as complex, but it doesn't have to be. In this session, we go over the steps you should take to correctly collect your requirements. We also cover AWS services that can assist you in migrating your data to Amazon Redshift, such as AWS Database Migration Service (AWS DMS), AWS Snowball, and AWS Snowmobile. We then dive into targeted use cases based on the needs of the session participants. 

    Level: 200 - Intermediate
    Track Topic: Analytics & Databases

    12:45pm - 1:20pm 35 mins Streaming and real-time analytics

    Learn how streaming technologies can help analyze data in real time, move data between systems in real time, or power data flows in next-generation applications and microservices architectures. This block covers both the Amazon Kinesis family of products and Amazon Managed Streaming for Apache Kafka (Amazon MSK), and it provides deep examples of how these streaming technologies can be used to more easily build real-time and connected applications.

    Level: 300 - Advanced
    Track Topic: Analytics & Databases
  • Compute & Networking
  • Time Duration Session
    10:30am - 11:00am 30 mins

    How to drive economic value through cost management and optimization

    The economics of the cloud are compelling, but customers need to take action and put governance in place to realize its full benefits. In this session, we discuss how to drive commercial and technical optimization through automation, tagging, and tooling in order to achieve cost reduction. We also cover the Savings Plans pricing model in depth and share proven methods that accelerate cost optimization. This session is suitable for both new and existing customers who are interested in gaining additional control of their cloud spend.


    Level: 200 - Intermediate
    Track Topic: Compute

    11:00am - 11:30am 30 mins

    AWS networking fundamentals

    In this session, we walk through the fundamentals of Amazon Virtual Private Cloud (Amazon VPC). First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for connecting a VPC to a physical data center with a VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.

    Level: 200 - Intermediate
    Track Topic: Networking

    11:30am - 12:00pm 30 mins

    Getting more out of Amazon EC2

    Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier. Learn about the variety of compute instances well-suited for every imaginable use case, and discover how to scale your compute capacity while maintaining the lowest total cost of ownership (TCO) by blending Amazon EC2 Spot, On-Demand, and Reserved Instances or a Savings Plans purchase model. In this session, we'll cover the latest Amazon EC2 capabilities and how you can do more for less by pairing Amazon EC2 with other AWS services and features, such as Amazon EC2 Auto Scaling, Amazon ECS, Amazon EKS, Amazon EMR, and AWS Batch.

    Level: 300 - Advanced
    Track Topic: Compute

    12:15pm - 1:00pm 45 mins

    Advanced VPC connectivity patterns 

    This session walks through two strategies for delivering high-performance, highly available applications to your users. We start by diving in to techniques for speeding up the delivery of your content using Amazon CloudFront while also protecting yourself from DDoS attacks. Then we show how to improve availability and performance of your applications for local or global users using AWS Global Accelerator. 

    Level: 200 - Intermediate
    Track Topic: Networking

    1:00pm - 1:30pm 30 mins

    Tuning your cloud: Improve global network performance for applications   

    Do you need to scale while also ensuring that you're getting the most out of your AWS services? This session provides you with the tools and techniques you need to analyze and understand your application’s network behavior, model and test different scenarios, and tune AWS services to meet your requirements. We focus on Amazon Linux, Amazon EC2 services, and AWS regional and backbone network infrastructure. 

    Level: 300 - Advanced
    Track Topic: Compute

  • Enterprise
  • Time Duration Session
    10:30am - 11:05am 35 mins Balancing agility and governance of third-party software and data

    Learn how to use a combination of AWS services to provision, manage, and govern your AWS environments. AWS Marketplace enables you to innovate with third-party offerings, and AWS Data Exchange makes data-driven decisions easier while providing visibility and control over software and data products. AWS Management and Governance services help maintain agility while allowing you to control costs, compliance, and security. In this session, learn to balance agile innovation with governance in the cloud with AWS Marketplace features such as Seller Private Offers, Private Marketplace, and Procurement System Integration, and data offerings from AWS Data Exchange, AWS Service Catalog, and AWS Control Tower.

    Level: 200 - Intermediate
    Track Topic: Marketplace
    11:05am - 11:40am 35 mins SaaS Migration: Moving from Single-Tenant to Multi-Tenant on AWS

    Many organizations start their path to SaaS with single-tenant environments that they would like to transition. Finding a migration approach that balances the needs of the business with the cost, and competitive pressures of adopting SaaS is challenging, and building a solution with a clean slate is not always possible. This session will identify the most common SaaS migration patterns and preview specific architecture, operational, deployment, and build strategies that are used to implement these patterns.

    Level: 300 - Advanced
    Track Topic: ISV
    11:40am - 12:10pm 30 min Enterprise cloud migration meets application containerization

    In this session, learn how to build your application migration framework and pipelines centering on containerization. We show you how to assess and qualify your applications, build and refine your landing zones, create specific security baselines, and create migration pipelines leveraging Amazon ECR and Amazon EKS, two services that are part of the AWS container management portfolio.

    Level: 300 - Advanced
    Track Topic: Enterprise
    12:30pm - 1:00pm 30 mins Realizing the business value of modernizing

    Most organizations know that they can achieve cost savings by moving to the cloud, but they often struggle to quantify benefits beyond cost. In this session, we introduce the AWS Cloud Adoption Framework (CAF) and explain how it can be used to quantify not only cost savings, but also the value of business agility, operational resilience, and staff productivity. By the end of this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive value-based business case.

    Level: 200 - Intermediate
    Track Topic: Enterprise
  • Services
  • Time Duration Session
    10:30am - 11:00am 30 mins Introduction to data-driven customer engagement

    A customer engagement strategy is vital to business performance, and using AWS can help you create a unique experience for customers engaging with your organization. This session provides an overview of the AWS customer experience services. We show you how using unique customer attributes and accessing AI/ML services enable you to move beyond traditional skills-based routing. Discover how to create a personalized, predictive environment, one where customers are better understood and can quickly access the answers and information they need.

    Level: 100 - Introductory
    Track Topic: Services
    11:00am - 11:35am 35 mins Move your desktops and applications to AWS end-user computing

    IT organizations today need to support a modern and flexible global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to AWS End-User Computing (EUC) services offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of AWS EUC services and discuss the use cases for each. We then dive deep into best practices for implementation, including integrating them with your existing identity, security, networking, and storage solutions.

    Level: 200 - Intermediate
    Track Topic: Services
    11:35am - 12:15pm 40 mins Harnessing the full potential of IoT data with AWS

    If you knew the state of everything and could reason on top of that data, what problems could you solve? IoT data helps companies shift how they do business, improve product innovation, and impact customer experience. In this session, learn how AWS IoT helps organizations operate more intelligently by ingesting data from industrial and consumer products and modeling these assets using AWS IoT SiteWise. Also learn how to use analytics services, such as AWS Lake Formation, Amazon Redshift, and Amazon QuickSight, to unlock value from IoT data, gain insights, and drive innovation.


    Level: 300 - Advanced
    Track Topic: Services
    12:30pm - 1:00pm 30 mins Industrial machine performance insights with AWS

    In this session, we perform a live demonstration showing how you can connect a device to a machine, read sensor data, and leverage AWS IoT Core and AWS IoT Greengrass to send the data to the cloud on AWS IoT SiteWise. After showing how to ingest the data, we then demonstrate how to create an overall equipment effectiveness (OEE) dashboard to monitor the performance of the machine.

    Level: 400 - Expert
    Track Topic: Services
  • Modern Application Development - Track 1
  • Time Duration Session
    10:30am - 11:00am 30 mins Application integration patterns for microservices

    When you have a microservices architectural style, much of the communication between components is done over the network. In order to achieve what microservices promise, this communication must happen in a loosely coupled manner. In this session, we discuss some fundamental application integration patterns mostly based on messaging, and we connect them to real-world use cases in a microservices scenario. We also highlight the benefits that asynchronous messaging can have over REST APIs for communication between microservices.

    Level: 300 - Advanced
    Track Topic: Analytics & Databases

    11:00am - 11:30am 30 mins Kubernetes GitOps on AWS

    GitOps is an approach where infrastructure as code lives alongside your application in the same Git repository, and any changes are automatically deployed when they’re merged there. This session demonstrates how to implement this approach for AWS-managed backend resources together with front-end services running on Kubernetes out of the same Git repository. You learn how AWS resources are deployed and managed in an automated way and deployed on Kubernetes via Flux. If you’re a developer or operational team member looking for ways to leverage AWS with Kubernetes and Amazon EKS to build and run applications in a simpler and cohesive Git-driven experience, this is the session for you.

    Level: 300 - Advanced
    Track Topic: Modern Application Development

    12:15pm - 12:45pm 30 mins The art of the state: Coordinating services using AWS Step Functions

    Microservice architectures give us increased agility and scale, but as they grow, they can become complicated to coordinate and debug. In this session, we review common service coordination patterns and how AWS Step Functions can help us quickly build fully managed and resilient workflows powered by easy-to-understand state machines.

    Level: 200 - Intermediate
    Track Topic: Modern Application Development
    12:45pm - 1:20pm 35 mins Building serverless applications with AWS Amplify

    Since it was released in 2017 as a JavaScript library, AWS Amplify has become a great way to build, provision, and deploy web and mobile serverless applications on AWS. In this session, we explore what you can do with AWS Amplify. We provide examples of how to build application APIs, and we show you how to add advanced capabilities like AI/ML to your application. We also discuss best practices around developer tooling and workflow as well as CI/CD orchestration using the Amplify console.

    Level: 400 - Expert
    Track Topic: Modern Application Development
  • Modern Application Development - Track 2
  • Time Duration Session
    10:30am - 11:00am 30 mins CI/CD at scale: Best practices with AWS DevOps services

    You can increase development speed and encourage best practices by enabling CI/CD across your organization through repeatable patterns and infrastructure-as-code templates. This is achieved by creating and maintaining easily extensible infrastructure-as-code patterns for creating new services and automatically deploying them using CI/CD. Join us for a discussion on this and other key factors to consider when creating a DevOps culture and building DevOps capabilities for your applications on AWS.

    Level: 300 - Advanced
    Track Topic: Modern Application Development
    11:00am - 11:30am 30 mins Making sense of chaos: Operational visibility in distributed systems

    As organizations adopt microservices architectures, the distributed nature of systems can provide new challenges to teams that are used to managing monolithic solutions. This session introduces tools and techniques for logging and monitoring distributed environments. It also teaches you how to deploy a solution that delivers new insights about your applications to improve operational efficiency.

    Level: 300 - Advanced
    Track Topic: Modern Application Development
    12:15pm - 1:00pm 45 mins A modern application builder’s guide to testing

    In this session, we dive deep into the developer experience on AWS and focus on testing modern applications. We cover AWS and open-source tooling to help you build and test your applications locally and remotely in the cloud. Learn how to improve performance and load test your applications so they can perform at scale. We also explore the current IDE and plugin landscape that is making work easier for developers.

    Level: 300 - Advanced
    Track Topic: Modern Application Development
  • Security & Storage
  • Time Duration Session
    10:30am - 11:00am 30 mins Introduction to AWS security

    Ensuring security and compliance is a shared responsibility between AWS and the customer. In this session, we introduce the AWS shared responsibility model along with key security services that allow you to build security controls that are aligned to the NIST Cybersecurity Framework categories: identify, protect, detect, respond, and recover. You also hear from a financial institution in Singapore about how they are developing a cloud security strategy that allows innovation within defined risk guardrails.

    Level: 100 - Introductory
    Track Topic: Security
    11:00am - 11:35am 35 mins Best practices for implementing a data lake in Amazon S3

    Flexibility is key when building and scaling data lakes, and by choosing the right storage architecture, you can have the agility necessary to quickly experiment and migrate with the latest analytics solutions. In this session, we explore storage best practices for building a data lake on Amazon S3, including storage classes, access security management, and data management tools to optimize your storage. We explore use cases for analytics tools, including Amazon EMR and AWS Glue, and query-in-place tools like Amazon Athena, Amazon Redshift Spectrum, Amazon S3 Select, and Amazon S3 Glacier Select.

    Level: 200 - Intermediate
    Track Topic: Storage
    11:35am - 12:05pm 30 mins What's new in AWS file storage

    In this session, we focus on innovations in the fast-growing AWS file storage portfolio, including Amazon Elastic File System (Amazon EFS), Amazon FSx for Windows File Server, and Amazon FSx for Lustre.

    Level: 300 - Advanced
    Track Topic: Storage
    12:15pm - 12:45pm 30 mins Accelerate and simplify your data migration journey to AWS

    The prospect of moving data at scale to the cloud can be daunting. What are the simple, repeatable, and efficient data migration mechanisms to migrate your data? In this session, we will cover the different AWS solutions available to help you simplify and accelerate your data migration journey. Learn how to make the best choices when moving your data in both online and offline scenarios.

    Level: 200 - Intermediate
    Track Topic: Storage
    1:00pm - 1:30pm 30 mins Deep dive into AWS Lake Formation

    In this session, learn how to build a secure and automated data lake using AWS Lake Formation. Also learn how to set up periodic sales data and ingest into the data lake, build automated transformations, and generate sales forecasts from the transformed data using AI. If you're a developer, DBA, or a data engineer who works with data, this session is for you.

    Level: 400 - Expert
    Track Topic: Storage
Level 100
Introductory
Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.
Level 200
Intermediate
Sessions are focused on providing best practices, details of service features and demos, with the assumption that attendees have introductory knowledge of the topics.
Level 300
Advanced
Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.
Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations.

Start Building on AWS Today

Whether you're looking for compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability, and reliability.
View AWS Free Tier Details »
Up-Arrow