Love it or loathe it, AI is reshaping engineering, and the winners will be those who learn to work alongside it.

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Data Science: Depending on where you want to dwell in the "data factory," you can choose between Data Science, Data Engineering, and Artificial Intelligence. Despite their connections, they call for ...

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

This article doesn't provide a detailed introduction of the Data Factory service. For an introduction to the Azure Data Factory service, see Introduction to Azure Data Factory. You can also use the ...

You can store credentials or secret values in an Azure Key Vault and use them during pipeline execution to pass to your activities. This feature relies on the data factory managed identity. Learn how ...