Amazon SageMaker Lakehouse announces unified data connectivity capabilities to streamline the creation, management, and usage of connections to data sources across databases, data lakes and enterprise applications. SageMaker Lakehouse unified data connectivity provides a connection configuration template, support for standard authentication methods like basic authentication and OAuth 2.0, connection testing, metadata retrieval, and data preview. […]

Amazon S3 Access Grants now integrate with AWS Glue for analytics, machine learning (ML), and application development workloads in AWS. S3 Access Grants map identities from your Identity Provider (IdP), such as Entra ID and Okta or AWS Identity and Access Management (IAM) principals, to datasets stored in Amazon S3. This integration gives you the […]

AWS Glue Data Catalog now automates generating statistics for new tables. These statistics are integrated with cost-based optimizer (CBO) from Amazon Redshift and Amazon Athena, resulting in improved query performance and potential cost savings. Table statistics are used by a query engine, such as Amazon Redshift and Amazon Athena, to determine the most efficient way […]

Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse automates the extracting and loading of data from a DynamoDB table into SageMaker Lakehouse, an open and secure lakehouse. You can run analytics and machine learning workloads on your DynamoDB data using SageMaker Lakehouse, without impacting production workloads running on DynamoDB. With this launch, you now have the […]

Today, AWS announces new generative-AI powered transformation capabilities of Amazon Q Developer in public preview to accelerate porting of .NET Framework applications to cross-platform .NET. Using these capabilities, you can modernize your Windows .NET applications to be Linux-ready up to four times faster than traditional methods and realize up to 40% savings in licensing costs. […]

Today, Amazon Q Developer announces the general availability of a new agent that automates the end-to-end process of generating unit tests. This agent can be easily initiated by using a simple prompt: “/test”. Once prompted, Amazon Q will use the knowledge of your project to automatically generate and add tests to your project, helping improve […]

Today, we are excited to announce that Amazon Q Business, including Amazon Q Apps, has expanded its capabilities with a ready-to-use library of over 50 actions spanning plugins across popular business applications and platforms. This enhancement allows Amazon Q Business users to complete tasks in other applications without leaving the Amazon Q Business interface, improving […]

Amazon Q Developer now helps you accelerate operational investigations across your AWS environment in just a fraction of the time. With a deep understanding of your AWS cloud environment and resources, Amazon Q Developer looks for anomalies in your environment, surfaces related signals for you to explore, identifies potential root-cause hypothesis, and suggests next steps […]

Starting today, Amazon Q Developer can also perform code reviews, automatically providing comments on your code in the IDE, flagging suspicious code patterns, providing patches where available, and even assessing deployment risk so you can get feedback on your code quickly. Q Developer is a generative AI-powered assistant for designing, building, testing, deploying, and maintaining […]

AWS announces Amazon SageMaker Lakehouse, a unified, open, and secure data lakehouse that simplifies your analytics and artificial intelligence (AI). Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. SageMaker Lakehouse gives you […]