Today, we’re announcing metadata pre-filtering for Amazon S3 Vectors, which delivers higher recall on filtered queries by evaluating your metadata filter before the similarity search. You can filter on attributes such as tenant, category, status, or time, and pre-filtering adds prefix matching with $startsWith for paths, URLs, and hierarchical keys. Each vector carries up to…
Today, we’re announcing a new capability for Amazon Aurora PostgreSQL that you can use to directly query operational data together with data stored in your data lake in Apache Iceberg and Apache Parquet formats, using your existing PostgreSQL applications and tools. By eliminating the need to extract, transform, and load (ETL) structured data from data…
Today, we’re excited to introduce the newest members of the AWS Heroes program. AWS Heroes are a vibrant, worldwide group of AWS experts who go above and beyond to share knowledge, mentor others, and build thriving communities. These individuals make a real difference in helping developers and organizations succeed with AWS. This month, we welcome…
Some of the world’s most critical databases run in places where cloud connectivity cannot be assumed. A remote industrial site, for example, may need production systems to continue operating when external connectivity is unavailable. A regulated organization may need sensitive data and processing to remain within sovereign boundaries. Today, SQL Server on Azure Local is…
In this article Enabling Frontier Transformation with Microsoft Copilot and Microsoft Fabric The next evolution of Power BI: Agentic app creation Move from idea to production faster with Fabric Apps Building an AI-ready data foundation with Microsoft Fabric Create and manage agents in Fabric Operate Fabric with greater visibility and control Manage, optimize, and scale…
Azure continuously advances through new infrastructure generations, platform capabilities, services, and innovations that lead the industry in performance, security, reliability, and efficiency. Our Virtual Machine (VM) Lifecycle policy guides how we manage these transitions, giving Azure customers transparency, predictability, and guidance to plan for and execute technology changes with confidence. Our goal is to help…