In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log File System hardening with signature verification.

Microsoft 's MSFT Azure AI services are gaining meaningful enterprise traction, and the momentum is increasingly shaping the ...

Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate ...

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 released Azure Cosmos DB Python SDK version 4.14.0, a stable update designed to support advanced AI workloads and enhance performance for data-driven applications. The release includes new ...

New features unveiled at Pure//Accelerate promise easier cloud migration, smarter Kubernetes ops, and built-in threat detection, helping CIOs manage data sprawl and AI risk across hybrid environments.

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Add Yahoo as a preferred source to see more of our stories on Google. If you’ve ever wondered what it’s like to roam the same spaces where Monty Python sketches came to life, now’s your chance—well, ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Microsoft has launched the public preview of Azure Storage Discovery, a new fully managed service designed to give enterprises a comprehensive view of their entire Azure Blob Storage estate. Announced ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...