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About the event

Are you looking for a way to innovate faster and cost-effectively with data? If so, you’ve come to the right place. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you achieve the best performance with the lowest spend.


“Over the past 4 years I’ve been approached many times by other data warehousing providers. As much as cost was an important factor, the most important reason I kept deciding to stay with Redshift was the continuous improvements and innovation. People ask me why do we use Serverless. It is because Serverless addresses my pain points,” says Jerry Wang, Head of Data Engineering, Peloton.


From day one, Amazon Redshift’s mission has been to provide customers an easy to use, cost-effective, and secure way to analyze large volumes of data for diverse analytics purposes. In 2022 at re:Invent, AWS announced major features like zero-ETL, integration with AWS streaming services, Amazon S3, AWS Lake Formation and others for easy data ingestion, rich analytics with data science and machine learning use cases, and mission-critical analytics. In 2023, we celebrate Redshift’s 10-year birthday by equipping organizations with more tools and capabilities to help them weather through the uncertain economy, enhance their data security, and unlock more business insights from data.


Join AWS leaders, experts, partners, and Amazon customers Peloton, Gilead, McDonalds, Global Foundries, Schneider Electric, and Flutter Entertainment to:

  • Hear from Amazon Redshift’s customer executives on their data strategy
  • Get inspired by companies in similar industries as yours
  • Gain deeper understanding of Amazon Redshift’s new features
  • Learn best practices of using Amazon Redshift
  • See how women leaders in data analytics navigate their career and excel in their organizations

Virtual Event Agenda

Virtual Event Agenda

  • Keynote with Rahul Pathak, VP of Relational Engines, AWS
    9:00 AM – 9:20 AM PT | 12:00 PM – 12:20 PM ET
  • Fireside chat with Rajiv Arora from Gilead
    9:20 AM – 9:50 AM PT | 12:20 PM – 12:50 PM ET
  • How will AI revolutionize databases? An MIT professor's perspective
    9:50 AM – 10:10 AM PT | 12:50 PM – 1:10 PM ET
  • Panel: Women in Data, featuring leaders from Flutter Entertainment, Schneider Electric, Global Foundries
    10:10 AM – 10:40 AM PT | 1:10 PM – 1:40 PM ET
  • Customer spotlight on McDonald's
    10:40 AM – 10:50 AM PT | 1:40 PM – 1:50 PM ET
  • Unlock new data insights by connecting Stripe to Amazon Redshift
    10:50 AM – 11:00 AM PT | 1:50 PM – 2:00 PM ET
  • Amazon Redshift: 10 years of innovation in cloud analytics
    11:00 AM – 11:50 AM PT | 2:00 PM – 2:50 PM ET
  • Best practices of using Amazon Redshift
    11:50 AM – 12:10 PM PT | 2:50 PM – 3:10 PM ET
  • Deep dive into Redshift reliability features
    12:10 PM – 12:30 PM PT | 3:10 PM – 3:30 PM ET
  • Get better price-performance in cloud data warehousing with Amazon Redshift
    12:30 PM – 12:50 PM PT | 3:30 PM – 3:50 PM ET
  • Trusted Data Insights with Informatica and Amazon Redshift
    12:50 PM – 1:00 PM PT | 3:50 PM – 4:00 PM ET
  • Visualize and collaborate on data with Amazon Redshift Query Editor V2
    1:00 PM – 1:20 PM PT | 4:00 PM – 4:20 PM ET
  • Customer spotlight on Peloton
    1:20 PM – 1:30 PM PT | 4:20 PM – 4:30 PM ET
  • Deep dive into Amazon Redshift Serverless
    1:30 PM – 1:50 PM PT | 4:30 PM – 4:50 PM ET
  • Deep dive into Redshift security features
    1:50 PM – 2:10 PM PT | 4:50 PM – 5:10 PM ET
  • Get insights from data in record time with Amazon Redshift and other AWS services
    2:10 PM – 2:30 PM PT | 5:10 PM – 5:30 PM ET
  • Migration and modernization to Amazon Redshift
    2:30 PM – 2:50 PM PT | 5:30 PM – 5:50 PM ET
  • Closing remarks
    2:50 PM – 3:00 PM PT | 5:50 PM – 6:00 PM ET
  • Keynote
  • Infrastructure Protection
  • Threat Detection & Incident Response
  • Identity
  • Data Protection
  • GRC
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Keynote

Infrastructure Protection

Threat Detection & Incident Response

Identity

Data Protection

GRC

Track7 Session 1

Track8 Session 1

Track9 Session 1

Track10 Session 1

Multiple City Registration

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Venue

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

What to Expect

Executive Keynote

AWS Experts

Live Demos

Why attend?

Whether you're new to the cloud or an experienced user, learn from AWS experts and AWS leaders about security best practices and security service deep dives. Get insight into the future of cloud security and have your questions answered by experts.

Who should attend?

Technologists and security practitioners, with varying levels of expertise, who are interested in learning about AWS Security services and live demos. However, all individuals, from technical to business decision-makers, are welcome to attend and will benefit from the content.

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

Who Should Attend

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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

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.