Scott Rigney

Dive deep into Amazon Athena's most powerful capabilities in this interactive chalk talk for experienced practitioners. We'll explore cost-saving techniques—CTAS for materializing expensive query results, partition projection to eliminate metadata lookups, and EXPLAIN-based tuning to minimize bytes scanned.

Learn how AWS is enhancing its SQL analytics offerings with new capabilities in Amazon Redshift and Amazon Athena. Discover how Redshift's AI-powered data warehousing capabilities are enabling customers to modernize their analytics workloads with enhanced performance and cost optimization.

Data professionals are challenged to build solutions that can quickly scale, deliver cost-effective results, and support the needs of various data users. Learn how AWS makes it faster and easier to carry out a modern data strategy without having to manage infrastructure across databases, analytics, and AI/ML.

Amazon Athena is a highly scalable analytics service that makes it easy to analyze all your data across Amazon S3, in on-premises stores, and on other cloud platforms. Amazon Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.