Building a Data-Driven Organization
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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
Enjoy on-demand sessions and additional resources from the AWS virtual event: Building a Data-Driven Organization. AWS senior leaders discuss data culture, how to build a modern data strategy, and how to align your mindset, people, process, and technology to drive sustained innovation and create actionable insights to supercharge the customer experience.
On-Demand Sessions
Click on a session to learn more
Keynote: Reinventing your business with data
- Presented by: Rahul Pathak, Vice President of Analytics at Amazon Web Services
Effective leaders rely on data to make informed decisions, look around corners, and take meaningful action. They build a modern data strategy to deliver insights to the people and applications that need it, securely and at any scale. Uncover the latest in database, data, analytics and AI/ML and get insights on how organizations are harnessing the power of data to accelerate innovation in their businesses. Jumpstart and build the modern data strategy that allows you to consolidate, store, curate, and analyze data at any scale, as well as share data insights with everyone who needs them.
For Business Decision Makers
- Creating a Data-Driven Culture - Level 100
Presented by Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services
Companies are looking to move beyond believing that data is a unique asset to unleashing its value at scale. Using actioned insights, analytics, and AI/ML, data-driven organizations are able to better prepare for the unexpected, create new revenue streams, improve customer experience, and increase operational efficiencies. However, creating a data-driven culture remains the biggest impediment to achieving this. In this session, we will share strategies and frameworks to establish a data-driven culture, overcome silos, govern data in a way that enables business outcomes, and get started on building your data fly-wheel.
- Building a Modern Data Strategy – People & Process Considerations - Level 100
Presented by Amy McNee, Head of WW Analytics Platform Strategy
Applying old organizational models and methodologies to modern, cloud technology won’t allow companies to achieve the kind of results and agility they expect. Companies need an operating model, organizational model, and data literacy approach that enables data-driven decision making throughout an organization. In this session, we will explore the people and process considerations in building a modern data strategy.
For Technical Decision Makers
- Modern Data Community - Level 200
Presented by Steve Cooper, Head: Data & Analytics Programs at Amazon Web Services
Data-driven organizations need an organizational model that enables agility and responsibility. We call this the Modern Data Community. In this session, we will discuss the evolution of organizational models and the roles and responsibilities of producers, consumers, and IT in a modern data community. We will discuss how automation is the key to sustaining these changes and incenting participation in the community to accelerate your transformation.
- Modern Data Architecture on AWS to Support Complex Business Requirements - Level 200
Presented by Ian Meyers, Director, Product Management at Amazon Web Services
Being data driven requires technology solutions that help you work with your data at scale and classify, secure and govern your data across multiple business domains. In this session, we will present information on how AWS data storage, database, analytics, and machine learning technologies can help you leverage data to drive business outcomes. We’ll show a modern data architecture based upon AWS Lake House that allows you to store data at any scale, and how to use AWS purpose-built services to support a variety of complex data transformation workloads with high security and transparent governance. We’ll then show how to build advanced patterns like Data Marketplaces powered by Amazon Redshift and Data Exchange and how the Data Mesh pattern brings together these technologies to enable agility for highly decentralized organizations.
Session Details
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Track1 Session 1
Migrate your Oracle and SQL Server databases to
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.
Track2 Session 1
Migrate your Oracle and SQL Server databases to
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.
Track3 Session 1
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Track4 Session 1
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Track5 Session 1
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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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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
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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
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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
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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
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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
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Featured Speakers
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Rahul Pathak, Vice President, Analytics at Amazon Web Services
Rahul Pathak is Vice President of Analytics at AWS and is responsible for Amazon Athena, Amazon OpenSearch Service, EMR, Glue, Lake Formation, and Redshift. Over his nine years at AWS, he has focused on managed database, analytics, and database services. Rahul has over twenty years of experience in technology and has co-founded two companies, one focused on digital media analytics and the other on IP-geolocation. He holds a degree in Computer Science from MIT and an Executive MBA from the University of Washington.
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Ishit Vachhrajani, Enterprise Strategist at Amazon Web Services
Ishit helps enterprise executives with strategies to increase speed and agility, drive innovation, and create new operating models using the cloud to transform their business. Prior to joining AWS, Ishit was Chief Technology Officer at A+E Networks responsible for global technology across cloud, architecture, enterprise applications and products, data analytics, technology operations, and cyber security. He has previously held technology leadership positions at NBCUniversal and various consulting organizations.
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Amy McNee, Head of WW Analytics Platform Strategy at Amazon Web Services
Amy leads a worldwide team helping customers with their analytic strategy including both technology and the people/process to achieve specific business outcomes driven by data. Amy has over 25 years of experience covering the end to end ecosystem for analytics and business intelligence with companies including SAP, Workday and AWS.
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Steve Cooper, Head Data & Analytics Program at Amazon Web Services
Steve is the worldwide lead for Data-Driven Everything (D2E) at Amazon Web Services. D2E provides a use-case driven framework to help customers create a compelling data-driven vision, accelerate the flywheel for their most challenging use cases, build experience, and scale with a “go-big” plan and 6 to 9-month roadmap of priority projects. Prior to joining AWS, Steve led Accenture's big data platform and AI/ML studio services, driving Accenture's transformation to an intelligent enterprise.
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Ian Meyers, Director, Product Management at Amazon Web Services
Ian Meyers is a Sr. Principal Product Manager for AWS Database Services. He works with many of AWS largest customers on emerging technology needs, and leads several data and analytics initiatives within AWS including support for Data Mesh.
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Zach Mitchell, Sr. Big Data Architect at Amazon Web Services
Zach Mitchell is a Sr. Big Data Architect. He works within the product team to enhance understanding between product engineers and their customers while guiding customers through their journey to develop data lakes and other data solutions on AWS analytics services.
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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.
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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
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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.
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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.
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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
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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
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’ 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’ 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’ 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.
Q: Where is this event?
A: This event is an online event, hosted by AWS on the GoToWebinar platform.
Q: Who should attend this event?
A: This event is designed for C-level executives, VPs, SVPs, and Directors.
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.