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Posts tagged #AmazonAthena

Amazon Athena now supports 1-minute reservations and 4 DPU minimum capacity https://aws.amazon.com/athena/ now supports 1-minute Capacity Reservations and a lower minimum capacity of 4 Data Processing Units (DPUs) for all reservations. Now, you can get started with less capacity and make more frequent, fine-grained adjustments to match your workload patterns—with no long-term commitments and cost savings up to 95% for short-duration query workloads. Capacity Reservations provides dedicated serverless compute and is ideal for workloads requiring query prioritization and concurrency controls. You pay only for capacity that you reserve and there are no data scanned charges. Reserved capacity works seamlessly with existing Athena queries and workgroups—simply attach workgroups to a reservation and submit queries with no changes in your SQL queries or application code required. To learn more, see the https://docs.aws.amazon.com/athena/latest/ug/capacity-management-creating-capacity-reservations.html and https://aws.amazon.com/athena/pricing/ page.

Amazon Athena now supports 1-minute reservations and 4 DPU minimum capacity

https://aws.amazon.com/athena/ now supports 1-minute Capacity Reservations and a lower minimum capacity of 4 Data Processing Units (DPUs) for all reservations. Now, you can get started with less cap...

#AWS #AmazonAthena

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Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.

Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

New capabilities help optimize appli...

#AWS #AmazonAthena #AmazonCloudwatch #AmazonEmr #AmazonQuickSight #AmazonRedshift #AmazonS3Tables #AmazonSimpleStorageService(S3) #Analytics #Storage

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Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.

Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

New capabilities help optimize appli...

#AWS #AmazonAthena #AmazonCloudwatch #AmazonEmr #AmazonQuickSight #AmazonRedshift #AmazonS3Tables #AmazonSimpleStorageService(S3) #Analytics #Storage

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Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables New capabilities help optimize application performance, analyze unlimited prefixes, and simplify metrics analysis through S3 Tables integration.

Amazon S3 Storage Lens adds performance metrics, support for billions of prefixes, and export to S3 Tables

New capabilities help optimize appli...

#AWS #AmazonAthena #AmazonCloudwatch #AmazonEmr #AmazonQuicksight #AmazonRedshift #AmazonS3Tables #AmazonSimpleStorageService(S3) #Analytics #Storage

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Amazon Athena launches auto-scaling solution for Capacity Reservations https://docs.aws.amazon.com/athena/ now offers an auto-scaling solution for Capacity Reservations that dynamically adjusts your reserved capacity based on workload demand. The solution uses https://aws.amazon.com/step-functions/ to monitor utilization metrics and scale your Data Processing Units (DPUs) up or down according to the thresholds and limits you configure, helping you optimize costs while maintaining query performance and eliminating the need for manual capacity adjustments. You can customize scaling behavior by setting utilization thresholds, measurement frequency, and capacity limits to match your workload needs. The solution uses Step Functions to add or remove DPUs to any active Capacity Reservation based on capacity utilization metrics in https://aws.amazon.com/cloudwatch/. Capacity automatically scales up when utilization exceeds your high threshold and scales down when it falls below your low threshold - all while adhering to your defined limits. You can further customize the solution by modifying the https://aws.amazon.com/cloudformation/ template to fit your specific requirements. The auto-scaling solution for Athena Capacity Reservations is available in AWS Regions where Capacity Reservations is supported. To get started, see https://docs.aws.amazon.com/athena/latest/ug/capacity-management-automatically-adjust-capacity.html in the Athena user guide.

Amazon Athena launches auto-scaling solution for Capacity Reservations

https://docs.aws.amazon.com/athena/ now offers an auto-scaling solution for Capacity Reservations that dynamically adjusts your reserved capacity based on workload demand. The solution uses https://aws.a

#AWS #AmazonAthena

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Amazon Athena adds cost and performance controls for Capacity Reservations https://aws.amazon.com/athena/ now gives you control over Data Processing Unit (DPU) usage for queries running on Capacity Reservations. You can now configure DPU settings at the workgroup or query level to balance cost efficiency, concurrency, and query-level performance needs. Capacity Reservations provides dedicated serverless processing capacity for your Athena queries. Capacity is measured in DPUs, and queries consume DPUs based on their complexity. Now you can set explicit DPU values for each query—ensuring small queries use only what they need while guaranteeing critical queries get sufficient resources for fast execution. The Athena console and API now return per-query DPU usage, helping you understand DPU usage and determine your capacity needs. These updates help you control per-query capacity usage, control query concurrency, reduce costs by eliminating over-provisioning, and deliver consistent performance for business-critical workloads. Cost and performance controls are available today in AWS Regions where Capacity Reservations is supported. To learn more, see https://docs.aws.amazon.com/athena/latest/ug/capacity-management-control-capacity-usage.html in the Athena user guide.

Amazon Athena adds cost and performance controls for Capacity Reservations

https://aws.amazon.com/athena/ now gives you control over Data Processing Unit (DPU) usage for queries running on Capacity Reservations. You can now configure DPU settings at the workgroup or query l...

#AWS #AmazonAthena

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Amazon Athena launches auto-scaling solution for Capacity Reservations Amazon Athena now offers an auto-scaling solution for Capacity Reservations that dynamically adjusts your reserved capacity based on workload demand. The solution uses AWS Step Functions to monitor utilization metrics and scale your Data Processing Units (DPUs) up or down according to the thresholds and limits you configure, helping you optimize costs while maintaining query performance and eliminating the need for manual capacity adjustments. You can customize scaling behavior by setting utilization thresholds, measurement frequency, and capacity limits to match your workload needs. The solution uses Step Functions to add or remove DPUs to any active Capacity Reservation based on capacity utilization metrics in Amazon CloudWatch. Capacity automatically scales up when utilization exceeds your high threshold and scales down when it falls below your low threshold - all while adhering to your defined limits. You can further customize the solution by modifying the Amazon CloudFormation template to fit your specific requirements. The auto-scaling solution for Athena Capacity Reservations is available in AWS Regions where Capacity Reservations is supported. To get started, see Automatically adjust capacity in the Athena user guide.

🆕 Amazon Athena introduces auto-scaling for Capacity Reservations, dynamically adjusting reserved capacity via AWS Step Functions, optimizing costs and performance, and eliminating manual adjustments. Available in supported regions. See the Athena user guide for setup.

#AWS #AmazonAthena

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Amazon Athena adds cost and performance controls for Capacity Reservations Amazon Athena now gives you control over Data Processing Unit (DPU) usage for queries running on Capacity Reservations. You can now configure DPU settings at the workgroup or query level to balance cost efficiency, concurrency, and query-level performance needs. Capacity Reservations provides dedicated serverless processing capacity for your Athena queries. Capacity is measured in DPUs, and queries consume DPUs based on their complexity. Now you can set explicit DPU values for each query—ensuring small queries use only what they need while guaranteeing critical queries get sufficient resources for fast execution. The Athena console and API now return per-query DPU usage, helping you understand DPU usage and determine your capacity needs. These updates help you control per-query capacity usage, control query concurrency, reduce costs by eliminating over-provisioning, and deliver consistent performance for business-critical workloads. Cost and performance controls are available today in AWS Regions where Capacity Reservations is supported. To learn more, see Control capacity usage in the Athena user guide.

🆕 Amazon Athena now lets you manage DPU usage for Capacity Reservations, balancing cost, concurrency, and performance. Set explicit DPU values per query, reducing costs and ensuring critical queries get needed resources. Available in supported regions.

#AWS #AmazonAthena

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Migration isn’t magic. 🎩✨ If you're moving from @awscloud.bsky.social Athena to #Snowflake, read this first: https://bit.ly/4gOHGWI Learn how to handle schema mismatches, metadata gaps & format shifts.

#CData #AmazonAthena #AWS #DataEngineering #CloudData

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From SQL dialects to unstructured data headaches, migrating from @awscloud.bsky.social Athena to Snowflake isn’t always smooth sailing. 🌊

Get the roadmap for a smarter move → https://bit.ly/4gOHGWI

#Snowflake #AmazonAthena #CData #AWS #DataMigration

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Review and Secure a Lambda Function with an IAM Least Privilege Based Security Policy: CloudTrail and Athena Approach In this lab scenario, you take on the role of a cloud security engineer, working for a business...

✍️ New blog post by Wilklins Nyatteng

Review and Secure a Lambda Function with an IAM Least Privilege Based Security Policy: CloudTrail and Athena Approach

#awscommunitybuilder #aws #iam #amazonathena

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Amazon Athena launches single sign-on support for drivers 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

Amazon Athena launches single sign-on support for drivers

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-u...

#AWS #AmazonAthena

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Amazon Athena launches single sign-on support for drivers 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 Athena now supports single sign-on for JDBC and ODBC drivers via AWS IAM Identity Center, simplifying data access management and enforcing identity-based governance policies with seamless sign-on for analysts using 3rd party tools.

#AWS #AmazonAthena

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▶️ NEW VIDEO: Redpanda + #AWS Glue

Yesterday, we walked you through integrating Redpanda’s #Iceberg catalog with #AWSGlue. Up next: how to query your Glue-registered data using #AmazonAthena — the powerful, serverless query service that makes analyzing data in #S3 seriously easy. 🎯

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EP289: Mejores Prácticas de Amazon Athena Podcast AWS LATAM · Episode

Nuevo Podcast #AWSlatam 🎤 - EP289: Mejores Prácticas de Amazon Athena

#AmazonAthena #DataArchitecture #CostOptimization #ApacheSpark #BestPractices

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AWS Weekly Roundup: New AWS Heroes, Amazon Q Developer, EC2 GPU price reduction, and more (June 9, 2025) 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 […]

AWS Weekly Roundup: New AWS Heroes, Amazon Q Developer, EC2 GPU price reduction, and more (June 9, 2025)

The AWS Heroes progr...

#AWS #AmazonApiGateway #AmazonAthena #AmazonEc2 #AmazonElasticKubernetesService #AmazonQDeveloper #Announcements #AwsHeroes #AwsNetworkFirewall #Graviton #WeekInReview

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Amazon Athena is now available in Asia Pacific (Taipei) 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/.  

Amazon Athena is now available in Asia Pacific (Taipei)

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 S...

#AWS #AmazonAthena

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Amazon Athena is now available in Asia Pacific (Taipei) 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.

🆕 Amazon Athena is now available in Asia Pacific (Taipei), enabling serverless SQL querying of petabytes of data without infrastructure setup, leveraging open-source Trino and Presto engines.

#AWS #AmazonAthena

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AWS Weekly Roundup: New AWS Heroes, Amazon Q Developer, EC2 GPU price reduction, and more (June 9, 2025) 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 […]

AWS Weekly Roundup: New AWS Heroes, Amazon Q Developer, EC2 GPU price reduction, and more (June 9, 2025)

The AWS Heroes progr...

#AWS #AmazonApiGateway #AmazonAthena #AmazonEc2 #AmazonElasticKubernetesService #AmazonQDeveloper #Announcements #AwsHeroes #AwsNetworkFirewall #Graviton #WeekInReview

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Amazon Athena announces managed query results to streamline analysis workflows 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 announces managed query results to streamline analysis workflows

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...

#AWS #AmazonAthena

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Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand) 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/.  

Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand)

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 ...

#AWS #AmazonAthena

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Amazon Athena is now available in Mexico (Central) and Asia Pacific (Thailand) 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.

🆕 Amazon Athena now available in Mexico (Central) and Thailand (Asia Pacific). Serverless, SQL-based query service for analyzing data without infrastructure setup. Built on Trino and Presto, supports formats like Parquet and Iceberg.

#AWS #AmazonAthena

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Amazon Athena Provisioned Capacity now available in the Asia Pacific (Mumbai) Region 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/.

Amazon Athena Provisioned Capacity now available in the Asia Pacific (Mumbai) Region

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 resource...

#AWS #AmazonAthena

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Amazon Athena Provisioned Capacity now available in the Asia Pacific (Mumbai) Region 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.

🆕 Amazon Athena's provisioned capacity is now in Asia Pacific (Mumbai), providing serverless resources with fixed pricing, no long-term commitment, and workload management. Ideal for high-query concurrency or query isolation. For more, see the Amazon Athena User Guide and prici…

#AWS #AmazonAthena

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Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries 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.

Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse's new data catalog and permissions...

#AWS #AmazonAthena #Announcements #AwsLakeFormation #Featured #Launch #News

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Amazon Athena is now available in AWS Asia Pacific (Malaysia) region 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/.  

Amazon Athena is now available in AWS Asia Pacific (Malaysia) region

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 op...

#AWS #AmazonAthena

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Amazon Athena is now available in AWS Asia Pacific (Malaysia) region 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.

🆕 Amazon Athena is now available in AWS Asia Pacific (Malaysia) region

#AWS #AmazonAthena

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Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries 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.

Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries

Amazon SageMaker now supports connectivity, discovery, querying, and enforcing fine-grained data access controls on federated sources wh...

#AWS #AmazonAthena #AwsLakeFormation #AmazonSagemaker

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Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries 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.

🆕 Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries

#AWS #AmazonAthena #AwsLakeFormation #AmazonSagemaker

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Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries 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.

Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries

Connect, discover, and govern data across silos with Amazon SageMaker Lakehouse's new data catalog and permissions...

#AWS #AmazonAthena #Announcements #AwsLakeFormation #Featured #Launch #News

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