Change signals a shift away from legacy monitoring packs toward modern observability and Azure-based monitoring tools.

Microsoft will retire SCOM SQL monitoring packs in 2027, pushing customers toward Azure Monitor and cloud billing.

Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – ...

This solution accelerator provides a unified data foundation with integrated data architecture leveraging Microsoft Fabric, OneLake, Microsoft Purview, and Azure Databricks to deliver a unified, ...

Nov 30 (Reuters) - Data analytics firm Databricks is in talks to raise $5 billion at a valuation of $134 billion, which is roughly 32 times this year's expected sales of about $4.1 billion, The ...

(Reuters) -Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information reported ...

Today, we are unveiling the next Fairwater site of Azure AI datacenters in Atlanta, Georgia. This purpose-built datacenter is connected to our first Fairwater site in Wisconsin, prior generations of ...

MTN in partnership with Microsoft, has completed a major modernisation of its Enterprise Value Analytics (EVA) platforming in South Africa by migrating it to Microsoft Azure. The new cloud-based EVA 3 ...

For VisitBritain, data has always been part of the story. As the UK’s national tourism agency, it depends on accurate insight to help regions, small businesses, and policymakers make better decisions.

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Hi team/ maintainers, I love the work you're doing on Data API Builder. We’ve adopted it in different areas because it gives us a unified, secure, and standards-based API layer on top of multiple data ...