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Amazon Aurora Supports Machine Learning Directly from the Database

You can now use Amazon Aurora to add machine learning (ML) based predictions to your applications, using a simple, optimized, and secure integration with Amazon SageMaker and Amazon Comprehend. Aurora machine learning is based on the familiar SQL programming language, so you don’t need to build custom integrations,...

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Amazon Athena adds four new query-related metrics

Today, we publish additional query metrics that can help customers understand Amazon Athena performance. Athena publishes query-related metrics to Amazon CloudWatch. With this release, Athena will publish four additional query metrics. They are: Qu… Continue Reading — Amazon Athena adds four new query-related metrics

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Amazon Athena adds support for running SQL queries across relational, non-relational, object, and custom data sources

Amazon Athena now enables users to run SQL queries across data stored in relational, non-relational, object, and custom data sources. With federated querying, customers can submit a single SQL query that scans data from multiple sources running on… Continue Reading — Amazon Athena adds support for...

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Amazon Athena Adds support for User Defined Functions (UDF)

Amazon Athena now supports user-defined functions (UDFs), a feature that enables customers to write custom scalar functions and invoke them in SQL queries. While Athena provides built-in functions, UDFs enable customers to perform custom processing suc… Continue Reading — Amazon Athena Adds support for User...

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