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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases

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  • Ducimus qui blanditiis praesentium voluptatum
  • Deleniti atque corrupti quos dolores et quas Molestias excepturi sint occaecati cupiditate non
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Event Agenda

Sprint Week - Monday - Thursday, March 29 - April 1, 2021
  Day 1 - AWS Databases Day Day 2 - Amazon RDS Technical Deep Dives Day 3 - Amazon Aurora Technical Deep Dives Day 4 - Amazon Nonrelational Databases Technical Deep Dives
1pm - 2pm ET

2pm - 3pm ET
3pm - 4pm ET

Event Agenda

  • Mon, Mar 29
  • Tues, Mar 30
  • Wed, Mar 31
  • Thurs, Apr 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Mon, Mar 29

AWS Databases Day

Monday, March 29, 2021, 9:00 AM - 12:00 PM PT | 12:00 PM - 3:00 PM ET

Building Your First Modern Apps with Purpose-built Databases (Level 100-200)
9:00 AM - 10:00 AM PT | 12:00 PM - 1:00 PM ET
Understand the purpose-built database story to support diverse data models and build use-case driven, highly-scalable, distributed applications. Hear about customers who built their first modern applications on AWS databases.

Building for the Future with AWS Databases: Fireside Chat with Shawn Bice, VP of Databases (Level 100-200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
In this session, Shawn Bice, VP of Databases, discusses how organizations are building for the future with fully managed purpose-built databases. From helping organizations move existing database-heavy applications to the cloud, to learning from some of the earliest adopters, Shawn shares strategies on how to get started building for the future. Join Shawn to go deep on some of the newest database innovations.

Amazon.com Story: Migrating Oracle Databases to AWS Database Services (Level 100-200)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
This session provides an overview of the journey that Amazon.com has taken to migrate Oracle databases to AWS database services. In outlining this process, we also share best practices found and lessons learned along the way. The session concludes with a few specific examples of services/databases migrated and the business value recognized.

Tues, Mar 30

Amazon RDS Technical Deep Dives

Tuesday, March 30, 2021, 9:00 AM - 12:00 PM PT | 12:00 PM - 3:00 PM ET

Under the Hood: How to Run Oracle Databases on AWS (Level 300)
9:00 AM - 10:30 AM PT | 12:00 PM - 1:30 PM ET
Learn your options for running Oracle workloads on AWS, including Amazon RDS for Oracle, which automates mundane tasks such as provisioning, scaling, backing up, patching, and configuring high availability so you can focus on optimizing your applications. AWS partner Virtusa will also share about a real-world migration to RDS for Oracle.

Running MS SQL Server Workloads on Amazon RDS (Level 300)
10:30 AM - 12:00 PM PT | 1:30 PM - 3:00 PM ET
Join us for a deep dive into Amazon RDS for SQL Server and learn how to set up, operate, and scale SQL Server databases on AWS. AWS partner Clearscale will also share about a real-world migration to RDS for SQL Server.

Wed, Mar 31

Amazon Aurora Technical Deep Dives

Wednesday, March 31, 2021, 9:00 AM - 12:00 PM PT | 12:00 PM - 3:00 PM ET

Modernize Your Databases with Amazon Aurora (Level 300)
9:00 AM - 10:30 AM PT | 12:00 PM - 1:30 PM ET
This session provides an in-depth look at Amazon Aurora architecture and design considerations, which make it a highly available, durable, and fault-tolerant relational database service. It also offers insights into Aurora performance and how it achieves much higher throughput than MySQL and PostgreSQL. SugarCRM will also share about how Aurora powers their mission-critical workloads.

Planning a Proof of Concept with Amazon Aurora (Level 300)
10:30 AM - 12:00 PM PT | 1:30 PM - 3:00 PM ET
The proof of concept (PoC) is the main process and decision-making step to evaluate and adopt Aurora. In this session, learn about the methodology and framework for planning PoCs with Aurora. AWS partner Virtusa will also share about how they helped a customer conduct a successful PoC.

Thurs, Apr 1

Amazon Nonrelational Databases Technical Deep Dives

Thursday, April 1, 2021, 9:00 AM - 1:00 PM PT | 12:00 PM - 4:00 PM ET

Amazon DynamoDB: A Serverless NoSQL Database for Scale and Performance (Level 300)
9:00 AM - 11:00 AM PT | 12:00 PM - 2:00 PM ET
Customers like Amazon.com and many others have migrated to Amazon DynamoDB from NoSQL and relational databases. In this session, you will learn how to think the "NoSQL way" to be able to make the most of DynamoDB even if you have only ever worked with relational databases. You will also learn best practices for designing and operating highly scalable and cost effective solutions using this truly cloud-native and serverless database.

Amazon DocumentDB Deep Dive (Level 200)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
Deep dive into Amazon DocumentDB, a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data.

Accelerate your Database with Amazon ElastiCache (Level 200)
12:00 PM - 1:00 PM PT | 3:00 PM - 4:00 PM ET
Join us for an exploration of in-memory data store fundamentals and use cases for Amazon ElastiCache, a Redis and Memcached compatible, blazing fast in-memory data store that provides sub-millisecond latency to power internet-scale real-time applications.

Track5 Session 1

Tab 5 content

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Track6 Session 1

Tab 6 content

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Track7 Session 1

Tab 7 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Multiple City Registration

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus 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 will 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

About the Event

AWS Database Modernization Week is an online event series designed to help you understand how to leverage purpose-built databases to accelerate your data modernization projects. This event will begin with AWS Databases Day on March 29, designed to give business leaders and anyone new to AWS Databases a 100-200 level introduction to the AWS purpose-built database strategy, use cases, and customer success stories.

Database Modernization Week will continue with more advanced technical sessions March 30-April 1, designed to give technical users the opportunity to dive deeper into AWS Database services. We’ll explore new features and discuss how to use these services to get the fastest performance at the highest scale.

We invite you to review the agenda and join us for any or all of the week's sessions that interest you.

Which Day(s) Should I Attend?

AWS Databases Day, March 29

This is primarily a 100-200 level (introductory) workshop, including presentations and case studies to understand our AWS Database portfolio, customer success stories, and the various migration options available. The intended audience for this event includes:

Line of Business Leaders, Directors of Innovation, Internal IT Leaders, Application Owners, Data and Technology Leaders, Architects, Engineering Leaders, and Product Managers

Technical Deep Dives, March 30-April 1

These are primarily 300-level (advanced) workshops, including presentations and demos designed for those experienced with the AWS console. The intended audience for these events includes:

IT & Data Leaders, Developers, Architects, Software & Data Engineers, Platform & Database Administrators, and Product Managers


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Featured Speakers

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS

  1. Where is AWS Innovate hosted?
  2. What is the price of attending AWS Innovate?
  3. Who should attend AWS Innovate?
  4. How do I get the certificate of attendance?
Q: Where is this event?

A: This event is an online event, hosted by AWS on the INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A: There are no prerequisites for attending the event. We encourage attendees to browse the Database and Analytics pages on the AWS website to get a brief overview of the services available to them.