The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and data movement, was released to general availability (GA) about two months ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Microsoft announced Logic Apps Automation at Build 2026, a new SKU at auto.azure.com packaging workflows, AI agents, ...

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Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

Enterprises are embracing modern data integration patterns to fuel digital transformation. Not just cost and performance but also agility, scalability, and productivity are on the list of key ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

The cloud security landscape has evolved dramatically by 2026, with Azure SQL Managed Instance (MI) now operating under a strict Zero-Trust framework that prioritizes data-centric defense over ...

This data integration tools list features some of the best-known and most powerful applications. Learn more about the top data integration tools now. Today’s businesses regularly interact with data ...

Over the years Azure has evolved. First it was a host for stateless applications, using a range of Azure services. Then it became a host for virtualized infrastructures, supported by cloud hosted ...