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Simplify data analysis and anomaly detection across distributed data sets with federated queries and machine learning

Builders today have to deal with data in various sources such as data lake, databases, on premise, other cloud systems, and third-party applications. It becomes more complex when they have to work with multiple cross-functional teams. This session showcases how to build the end to end architectural framework with analytics, serverless, and other AWS solutions to gather insights on the data and identify anomalous transactions. See how to use Amazon Athena Federated Query to enable you to overcome these challenges with federated querying right into these disparate data sources, without moving or copying data and generating high performance analytics and insights. We demonstrate how Amazon Athena connects with Amazon SageMaker to run ML inferences with SQL commands on business transactions to gain insights and identify anomalous transactions. The session concludes with how to analyze results of an Athena federated query in Amazon QuickSight to meet varying analytic needs from the same source of truth through interactive dashboards, paginated reports, embedded analytics, and natural language queries. Download slides », Download demo »

Sam Gordon, Senior Cloud Architect, AWS Professional Services
Ed Fraga, Cloud Architect, AWS Professional Services