Microsoft used Ignite 2025 to push Azure Cosmos DB further into AI search and agentic workflows, highlighting new capabilities aimed at developers building retrieval-heavy applications and multi-agent ...
Microsoft used its annual conference to roll out sweeping updates across Managed Instance, Cosmos DB, Fabric, PostgreSQL and SQL Server tooling, signaling broad investments in performance, scalability ...
Veeam described how it rearchitected its data platform to move beyond traditional backup and recovery, using Azure Cosmos DB as the foundation for an AI-powered semantic search system. In a ...
After announcing support for Cosmos DB inside the Microsoft Fabric data platform at Build 2025, Microsoft recently opened a public preview of the new service. This release gives Cosmos DB a new role ...
Microsoft is bringing even more database options into the Microsoft Fabric fold, alongside a series of initiatives that aim to help tackle enterprise data complexity. For literally generations of ...
Note: this bug also existed for the Python package, but was resolved a few weeks ago. You cannot use the Azure.Data.Tables package to authenticate to Azure Cosmos DB for Table using Managed Identity / ...
In today’s fast-paced business landscape, agility isn’t just an advantage—it’s a necessity. When it comes to agreement management, outdated processes hinder progress, costing the global economy an ...
Over the past three years, the annual growth rate of enterprise data within Fortune 500 companies has been remarkable, driven by an exponential increase in data generation and the strategic imperative ...
At its annual Build developer conference on Tuesday, Microsoft unveiled several new capabilities of its Azure AI Services within its Azure cloud computing business, with a focus on generative ...
Azure Table storage and Azure Cosmos DB are services that store structured NoSQL data in the cloud, providing a key/attribute store with a schemaless design. Because Table storage and Azure Cosmos DB ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results