We are excited to announce that Amazon Athena is now available in Asia Pacific (Taipei). Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the AWS Region table. To learn more, see Amazon Athena.

The AWS Heroes program recognizes a vibrant, worldwide group of AWS experts whose enthusiasm for knowledge-sharing has a real impact within the community. Heroes go above and beyond to share knowledge in a variety of ways in developer community. We introduce our newest AWS Heroes in the second quarter of 2025. To find and connect […]

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https://aws.amazon.com/athena/ announces single sign-on support for its JDBC and ODBC drivers through AWS IAM Identity Center’s trusted identity propagation. This makes it simpler for organizations to manage end-user's access to data when using 3rd party tools and implement identity-based data governance policies with a seamless sign-on experience. With this new capability, data teams can seamlessly access data through their preferred 3rd party tools using their organizational credentials. When analysts run queries using the updated Athena JDBC (3.6.0) and ODBC (2.0.5.0) drivers, their access permissions defined in Lake Formation are applied and their actions logged. This streamlined workflow eliminates credential management overhead while ensuring consistent security policies, allowing data teams to focus on insights rather than access management. For example, data analysts using 3rd party BI tools or SQL clients can now connect to Athena using their corporate credentials, and their access to data will be restricted based on policies defined for their respective user identity or group membership in Lake Formation. This feature is available in regions where Amazon Athena and AWS Identity Center's trusted identity propagation are supported. To learn more about configuring identity support when using Athena drivers, see the https://docs.aws.amazon.com/athena/latest/ug/using-trusted-identity-propagation.html

https://aws.amazon.com/athena announces managed query results, a new feature that automatically stores, encrypts, and manages the lifecycle of query results for you at no additional cost. Managed query results streamlines analysis and administration workflows by providing temporary query results storage, removing the requirement for Amazon S3 buckets to store results and separate processes to clean up results that you no longer need. Now, Athena offers both service-managed, temporary result storage and customer-managed S3 storage options to meet different needs. Whether you're working on a team conducting interactive analysis across multiple workgroups or automating workgroup creation through code, managed query results allows you to run queries in fewer steps. For example, if you create a new workgroup for an analysis that you'll perform, you can now choose to have Athena manage your result data for you. This allows you to run queries without first specifying the S3 result location, ensures results are encrypted, and avoids cost from storing query results after they're no longer needed. When you use managed query results, you can continue to access query results through the same interfaces as you can when using an S3 bucket in your account. To get started, use the AWS Management Console, AWS SDK, or CLI to configure your new or existing workgroups to use managed query results. Managed query results is generally available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/, except GovCloud and China regions. To learn more, see https://docs.aws.amazon.com/athena/latest/ug/managed-results.html in the Athena User Guide.

Amazon Athena Provisioned Capacity is now available in the Asia Pacific (Mumbai) Region. Provisioned Capacity allows you to run SQL queries on dedicated serverless resources for a fixed price, with no long-term commitment, and control workload performance characteristics such as query concurrency and cost. Athena is a serverless, interactive query service that makes it possible to analyze petabyte-scale data with ease and flexibility. Provisioned Capacity provides workload management capabilities that help you prioritize, isolate, and scale your workloads. For example, use Provisioned Capacity when you need to run a high number of queries at the same time or isolate important queries from other queries that run in the same account. To get started, use the Athena console, AWS SDK, or CLI to request capacity and then select workgroups with queries you want to run on dedicated capacity. For more information on AWS Regions where Provisioned Capacity is available, see Manage query processing capacity. To learn more, visit Manage query processing capacity in the Amazon Athena User Guide and the Athena pricing page.

In this lab scenario, you take on the role of a cloud security engineer, working for a business...

Amazon Athena announces single sign-on support for its JDBC and ODBC drivers through AWS IAM Identity Center’s trusted identity propagation. This makes it simpler for organizations to manage end-user's access to data when using 3rd party tools and implement identity-based data governance policies with a seamless sign-on experience. With this new capability, data teams can seamlessly access data through their preferred 3rd party tools using their organizational credentials. When analysts run queries using the updated Athena JDBC (3.6.0) and ODBC (2.0.5.0) drivers, their access permissions defined in Lake Formation are applied and their actions logged. This streamlined workflow eliminates credential management overhead while ensuring consistent security policies, allowing data teams to focus on insights rather than access management. For example, data analysts using 3rd party BI tools or SQL clients can now connect to Athena using their corporate credentials, and their access to data will be restricted based on policies defined for their respective user identity or group membership in Lake Formation. This feature is available in regions where Amazon Athena and AWS Identity Center's trusted identity propagation are supported. To learn more about configuring identity support when using Athena drivers, see the Amazon Athena driver documentation.

Amazon SageMaker now supports connectivity, discovery, querying, and enforcing fine-grained data access controls on federated sources when querying data with Amazon Athena. Athena is a query service that makes it simple to analyze your data lake and federated data sources such as Amazon Redshift, Amazon DynamoDB, or Snowflake using SQL without extract, transform, and load (ETL) scripts. Now, data workers can connect to and unify these data sources within SageMaker Lakehouse. Federated source metadata is unified in SageMaker Lakehouse, where you apply fine-grained policies in one place, helping to streamline analytics workflows and secure your data. Log into Amazon SageMaker Unified Studio, connect to a federated data source in SageMaker Lakehouse, and govern data with column- and tag-based permissions that are enforced when querying federated data sources with Athena. In addition to the SageMaker Unified Studio, you can connect to these data sources through the Athena console and API. To help you automate and streamline connector set up, the new user experiences allow you to create and manage connections to data sources with ease. Now, organizations can extract insights from a unified set of data sources while strengthening security posture, wherever your data is stored. The unification and fine-grained access controls on federated sources are available in all AWS Regions where SageMaker Lakehouse is available. To learn more, visit SageMaker Lakehouse documentation.

The AWS Heroes program recognizes a vibrant, worldwide group of AWS experts whose enthusiasm for knowledge-sharing has a real impact within the community. Heroes go above and beyond to share knowledge in a variety of ways in developer community. We introduce our newest AWS Heroes in the second quarter of 2025. To find and connect […]

Amazon SageMaker now supports connectivity, discovery, querying, and enforcing fine-grained data access controls on federated sources when querying data with Amazon Athena. Athena is a query service that makes it simple to analyze your data lake and federated data sources such as Amazon Redshift, Amazon DynamoDB, or Snowflake using SQL without extract, transform, and load (ETL) scripts. Now, data workers can connect to and unify these data sources within SageMaker Lakehouse. Federated source metadata is unified in SageMaker Lakehouse, where you apply fine-grained policies in one place, helping to streamline analytics workflows and secure your data. Log into Amazon SageMaker Unified Studio, connect to a federated data source in SageMaker Lakehouse, and govern data with column- and tag-based permissions that are enforced when querying federated data sources with Athena. In addition to the SageMaker Unified Studio, you can connect to these data sources through the Athena console and API. To help you automate and streamline connector set up, the new user experiences allow you to create and manage connections to data sources with ease. Now, organizations can extract insights from a unified set of data sources while strengthening security posture, wherever your data is stored. The unification and fine-grained access controls on federated sources are available in all AWS Regions where SageMaker Lakehouse is available. To learn more, visit SageMaker Lakehouse https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/lakehouse.html.

We are excited to announce that starting today, https://aws.amazon.com/athena/ is available in the AWS Asia Pacific (Malaysia) Region. Athena is a serverless, interactive analytics service built on open-source Trino and Presto engines, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data, with no provisioning or configuration effort required. For a complete list of AWS services available in AWS Asia Pacific (Malaysia) and other regions, refer to the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. To learn more, see https://docs.aws.amazon.com/athena/.  

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse's new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.

We are excited to announce that Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand). Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the AWS Region table. To learn more, see Amazon Athena.

We are excited to announce that starting today, Amazon Athena is available in the AWS Asia Pacific (Malaysia) Region. Athena is a serverless, interactive analytics service built on open-source Trino and Presto engines, supporting open-table and file formats. Athena provides a simplified, flexible way to analyze petabytes of data, with no provisioning or configuration effort required. For a complete list of AWS services available in AWS Asia Pacific (Malaysia) and other regions, refer to the AWS Regional Services List. To learn more, see Amazon Athena.

We are excited to announce that https://aws.amazon.com/athena/ is now available in Mexico (Central) and Asia Pacific (Thailand). Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ table. To learn more, see https://docs.aws.amazon.com/athena/.  

We are excited to announce that https://aws.amazon.com/athena/ is now available in Asia Pacific (Taipei). Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ table. To learn more, see https://docs.aws.amazon.com/athena/.  

https://aws.amazon.com/athena/ Provisioned Capacity is now available in the Asia Pacific (Mumbai) Region. Provisioned Capacity allows you to run SQL queries on dedicated serverless resources for a fixed price, with no long-term commitment, and control workload performance characteristics such as query concurrency and cost. Athena is a serverless, interactive query service that makes it possible to analyze petabyte-scale data with ease and flexibility. Provisioned Capacity provides workload management capabilities that help you prioritize, isolate, and scale your workloads. For example, use Provisioned Capacity when you need to run a high number of queries at the same time or isolate important queries from other queries that run in the same account. To get started, use the Athena console, AWS SDK, or CLI to request capacity and then select workgroups with queries you want to run on dedicated capacity. For more information on AWS Regions where Provisioned Capacity is available, see https://docs.aws.amazon.com/athena/latest/ug/capacity-management.html. To learn more, visit https://docs.aws.amazon.com/athena/latest/ug/capacity-management.html in the Amazon Athena User Guide and the Athena https://aws.amazon.com/athena/pricing/.

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse's new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.