AWS Glue Studio now supports Amazon Redshift Serverless as a data source or target out-of-the-box. AWS Glue Studio enables ETL (Extract, Transform and Load) developers to visually transform data with a no-code, drag-and-drop interface. Glue’s visual interface saves the developer time authoring, running, and monitoring highly scalable ETL jobs. Developers can pull data from a variety of data sources including AWS services like Amazon S3, Amazon Kinesis, and Amazon Redshift. With this new feature, developers can read and write data into Amazon Redshift Serverless more effectively.
AWS Glue jobs can now include AWS Glue DataBrew Recipes
AWS Glue Studio Visual ETL jobs now let you use DataBrew Recipes as steps in the flow of transformations. AWS Glue Studio Visual ETL is a no-code job authoring UI for ETL developers with a flow-diagram interface. AWS Glue DataBrew is a no code data preparation tool for business users and data analysts with a spreadsheet-style UI. The new integration between the two makes it simpler to deploy and scale DataBrew jobs and gives DataBrew users access to AWS Glue features not available in DataBrew. The integration also works in code-based jobs.
Amazon Redshift now supports querying Apache Iceberg tables
Amazon Redshift today announces the preview release of Apache Iceberg support, enabling users to run analytics queries on Apache Iceberg tables within Redshift. Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service used by tens of thousands of customers. Whether your data is stored in operational data stores, data lakes, streaming engines or within your data warehouse, Amazon Redshift helps you quickly ingest, securely share data, and achieve the best performance for the best price. Apache Iceberg, one of the most recent open table formats, has been used by many customers to simplify data processing on rapidly expanding and evolving tables stored in data lakes.
Snowflake connectivity for AWS Glue for Apache Spark is now generally available
AWS Glue for Apache Spark now supports native connectivity to Snowflake, which enables users to read and write data from Snowflake without the need to install or manage Snowflake connector libraries. In addition, AWS Glue Studio has new visual ETL capabilities available for Snowflake source and targets to save time when authoring data pipelines for Snowflake. AWS Glue Studio enables ETL (Extract, Transform and Load) developers to visually transform data with a no-code, drag-and-drop interface. With this new connector and visual capabilities, ETL developers can read and write data into Snowflake more effectively using AWS Glue.
Announcing the general availability of AWS HealthImaging
Today, AWS announces the general availability of AWS HealthImaging, a new HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images at petabyte scale. With HealthImaging, you can run your medical imaging applications at scale from a single, authoritative copy of each medical image in the cloud, while reducing infrastructure costs.
Enable generative AI applications to complete tasks in just a few clicks
Amazon Bedrock now supports agents, a new, fully managed capability, that enables generative AI applications to complete tasks in just a few clicks – based on organization data and user input without any manual code. Agents for Bedrock orchestrate interactions between FMs, data sources, software applications, and users and automatically execute APIs. Developers can easily integrate the agents and accelerate delivery of generative AI applications saving weeks of development effort.
Vector engine for Amazon OpenSearch Serverless now in preview
Amazon OpenSearch Service now offers a simple, scalable, and high-performing vector engine for Amazon OpenSearch Serverless. Your developers can use this vector engine to build machine learning (ML)–augmented search experiences and generative artificial intelligence (AI) applications without having to manage the vector database infrastructure. You can rely on the vector engine for a cost-efficient, secure serverless environment, which will help your developers seamlessly transition from application prototyping to production.
AWS Entity Resolution is now generally available
Today, AWS announces the general availability of AWS Entity Resolution, a configurable, machine learning (ML)–powered service that helps organizations match and link related records stored across multiple applications, channels, and data stores. You can get started in minutes using entity resolution workflows that are flexible, scalable, and seamlessly connectable to your existing applications, without any expertise in entity resolution or ML.
AWS Glue Studio now supports Amazon CodeWhisperer
Today, AWS Glue announces that Amazon CodeWhisperer is available in AWS Glue Studio. You can use Amazon CodeWhisperer with no additional charge to generate real-time code suggestions in AWS Glue Studio notebooks. CodeWhisperer can generate code suggestions ranging from snippets to full functions in real time based on your prompts and existing code.
Announcing AWS HealthScribe (Preview)
Today, we are excited to announce AWS HealthScribe, a new HIPAA-eligible service designed to help healthcare software vendors build clinical applications that automatically generate preliminary clinical notes by analyzing patient-clinician conversations. With AWS HealthScribe, you can integrate conversational and generative AI in your application to accelerate clinical documentation workflow and enhance the consultation experience: no machine learning expertise required.