Access to all your data for fast analytics at scale is foundational for 360-degree projects involving data engineers, database developers, data analysts, data scientists, BI professionals, and the line of business. In this session, learn how easy-to-use ML can help your organization imagine new products or services, transform your customer experiences, streamline your business operations, and improve your decision-making. A secure, integrated platform that’s easy to use and supports nonproprietary data formats can improve collaboration through data sharing and can also improve customer responsiveness. Learn how AWS developer tools, including Data API, and native support for semi-structured data using standard SQL commands can improve software time to market.
2021 re:Invent
In this session learn about important new features of Amazon Redshift. Learn about the architectural evolution of Amazon Redshift and how it uses machine learning to create a self-optimizing data warehouse. Additionally, explore how Amazon Redshift integrates with other popular AWS services.
The next wave of digital transformation will be data-driven, and organizations will have to reinvent themselves using data to make decisions quickly and gain faster and deeper insights to serve their customers. In this session, Rahul Pathak, VP of AWS Analytics, addresses the current state of analytics on AWS, focusing on the latest service innovations. Learn how you can put your data to work with the best of both data lakes and purpose-built data stores. Also, discover how AWS can help you build new experiences and reimagine old processes with a modern data architecture on AWS.
Swami Sivasubramanian, VP Machine Learning, Amazon Web Services delivers the database, analytics, and machine learning keynote at re:Invent. Hear an exploration of what it takes to put data in action with an end to end data strategy. Including the launch of Amazon DevOps Guru for RDS, Amazon DynamoDB Standard-Infrequent Access table class, AWS DMS Fleet Advisor, Amazon SageMaker Ground Truth Plus, Amazon SageMaker Studio Notebook, Amazon Kendra Experience Builder, Amazon Lex Automated Chatbot Designer, Amazon SageMaker Studio Lab, and AWS AI and ML Scholarship Program.
Amazon Redshift Serverless enables you to get started in seconds and run data warehousing and analytics workloads at scale without worrying about data warehouse management. In this session, learn how Amazon Redshift automatically provisions data warehouse capacity and intelligently scales the underlying resources to deliver consistently high performance and simplified operations for even the most demanding and volatile workloads.
AWS Data Exchange for Amazon Redshift allows you to combine third-party data found on AWS Data Exchange with your own data from your Amazon Redshift cloud data warehouse, requiring no ETL and accelerating time to value. In thus session, learn how AWS Data Exchange allows an organization’s line of business to immediately access and analyze a provider’s data once access has been granted, eliminating the need to depend on IT teams to provision the necessary data. Data providers can license access to their Amazon Redshift cloud data warehouses or allow subscribers to download files from Amazon S3 with no heavy lifting.
Access to all your data for fast analytics at scale is foundational for 360-degree projects involving data engineers, database developers, data analysts, data scientists, BI professionals, and the line of business. In this session, learn how easy-to-use ML can help your organization imagine new products or services, transform your customer experiences, streamline your business operations, and improve your decision-making. A secure, integrated platform that’s easy to use and supports nonproprietary data formats can improve collaboration through data sharing and can also improve customer responsiveness. Learn how AWS developer tools, including Data API, and native support for semi-structured data using standard SQL commands can improve software time to market.
Customer Stories
Learn how Amazon Redshift delivered business outcomes for FactSet, Zynga, and Paddy Power Betfair.