Naresh Chainani

Enterprise analytics platforms are undergoing a major transformation—from centralized, overloaded data warehouses to federated, governed, GenAI-ready multi-warehouse architectures. In this session, you’ll learn how to design your data warehouse architecture to scale with your business needs.

AWS customers use Amazon Redshift to modernize their data analytics workloads and deliver insights for their businesses. Learn how to design your analytics system to scale with your business needs.

To stay competitive, allowing data citizens across your organization to see near real-time analytics without worrying about data infrastructure management is crucial for your business.

Amazon Redshift Serverless lets you 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...

In this session, we show you how to make the best use of stored procedures in Amazon Redshift to encapsulate business logic in a secure manner. With PL/pgSQL stored procedures, you can easily migrate existing workloads from legacy, on-premises data warehouses to Amazon Redshift.