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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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  • Deleniti atque corrupti quos dolores et quas Molestias excepturi sint occaecati cupiditate non
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Event Agenda

Sprint Week - Hosted on Monday - Thursday, August 24 - 27, 2020
  Day 1 - Purpose Built Databases on AWS and Deep Dives into Amazon DocumentDB and Amazon ElastiCache Day 2 - Amazon RDS for Oracle and Amazon RDS for SQL Server Day Day 3 - Amazon ElastiCache Day Day 4 - Database Migration Best Practices Day (AWS and Datavail)
1pm - 2pm ET

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

Session Agenda Details

  • Mon, Aug 24
  • Tues, Aug 25
  • Wed, Aug 26
  • Thurs, Aug 27
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Mon, Aug 24

Purpose Built Databases on AWS and Deep Dives into Amazon DocumentDB and Amazon ElastiCache

Monday, August 24, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Purpose Built Databases on AWS (Level 200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
Understand the purpose built database story to support diverse data models and build use case driven, highly scalable, distributed applications.

Amazon DocumentDB Deep Dive (Level 300)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
Deep dive into 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.

Amazon ElastiCache Deep Dive (Level 300)
12:00 PM - 1:00 PM PT | 3:00 PM - 4:00 PM ET
Deep dive into ElastiCache, a Redis and Memcached compatible, blazing fast in-memory data store that provides sub-millisecond latency to power internet-scale real-time applications.

Tues, Aug 25

Amazon RDS for Oracle and Amazon RDS for SQL Server Day

Tuesday, August 25, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Amazon RDS for Oracle Deep Dive (Level 300)
10:00 AM - 11:30 AM PT | 1:00 PM - 2:30 PM ET
Deep dive into Amazon Relational Database Service (Amazon RDS) for Oracle, which continues to be a popular choice for “lifting and shifting” mission-critical Oracle database workloads to the cloud.

Amazon RDS for SQL Server (Level 300)
11:30 AM - 1:00 PM PT | 2:30 PM - 4:00 PM ET
Deep dive into Amazon Relational Database Service (Amazon RDS) SQL Server, and how to set up, operate, and scale SQL Server databases in the cloud.

Wed, Aug 26

Amazon ElastiCache Day

Wednesday, August 26, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Turbocharge RDS with ElastiCache for Redis (Level 200)
10:00 AM - 11:00 AM PT | 1:00 PM - 2:00 PM ET
Learn how Amazon ElastiCache can deliver high throughput and low latency for your data-driven RDS applications, providing massive scale with sub-millisecond response times. Review popular caching strategies and best practices to learn how to quickly complement RDS with Amazon ElastiCache.

Best Practices for Migrating Redis Clusters from Amazon EC2 to ElastiCache (Level 300)
11:00 AM - 12:00 PM PT | 2:00 PM - 3:00 PM ET
With Online Migration for Amazon ElastiCache, easily move your data from self-hosted Redis on Amazon EC2 to fully managed Amazon ElastiCache. Learn about the new Online Migration tool, see a demo, and learn hands-on best practices for a smooth migration to fully managed Redis on ElastiCache.

Hands-on with Amazon ElastiCache for Redis (Level 300 Hands-On Lab)
12:00 PM - 1:00 PM PT | 3:00 PM - 4:00 PM ET
Join us for a practical, hands-on workshop on using Amazon ElastiCache. This session is designed for developers, engineers, and database administrators who are involved in utilizing ElastiCache for Redis. At the end of this session, you learn how to cache RDS queries with Amazon ElastiCache for Redis.

Thurs, Aug 27

Database Migration Best Practices Day (AWS and Datavail)

Thursday, August 27, 2020, 10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET

Lessons from Migrating Oracle Databases to Amazon RDS or Amazon Aurora (Level 400 Hands-On Lab)
10:00 AM - 1:00 PM PT | 1:00 PM - 4:00 PM ET
Learn and leverage database migration best practices from moving off commercial Oracle databases to Amazon RDS or Aurora. In this session, we will cover common pitfalls, issues, the biggest differences between the engines, migration best practices, and how some of our customers have completed these migrations.

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 a series of virtual sessions designed to help you understand how to leverage purpose-built databases to build use case driven, highly scalable, distributed applications.

Watch any or all of the highly technical sessions below to dive deep into Amazon Database services through best practice sessions or practical, hands-on lab exercises. We’ll explore new features that are available, and how to use these services to accelerate data modernization projects.

For questions, please contact us.

Who Should Attend

This is primarily a 300-level (advanced) workshop, including presentations and labs designed for those experienced with the AWS console. The intended audience for this event includes:

  • Internal IT Leaders
  • DevOps Leaders
  • Developers
  • Architects
  • Database Administrators
  • Product Solutions Managers

You will need a computer with an internet connection and speakers/headphones. 


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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.