Analytics

Secure credential management is essential to protect data in the cloud.

Core Services Engineering (formerly Microsoft IT) shows how we use subscriptions and resource groups within our enterprise Azure footprint for control and security while still allowing developers to go fast.

We are pleased to announce Azure Analysis Services now provides integration with cloud data sources residing on Azure Virtual Networks (VNets). Organizations use VNets for enhanced security and isolation.

There is increasingly a need among users to develop and debug their Extract Transform/Load (ETL) and Extract Load/Transform (ELT) workflows iteratively. Now, Azure Data Factory (ADF) visual tools allow you to do iterative development and debugging.

Data science and machine learning can be applied to solve many common business scenarios, yet there are many barriers preventing organizations from adopting them.

Azure Data Factory (ADF) visual tools public preview was announced on January 16, 2018. With visual tools, you can iteratively build, debug, deploy, operationalize and monitor your big data pipelines.

Azure Databricks general availability was announced on March 22, 2018. Now Azure Databricks is fully integrated with Azure Data Factory (ADF).

Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.

To help our customers with their adoption of Azure services for big data and data warehousing workloads we have identified some common adoption patterns which are reference architectures for…

The confluence of cloud, data, and AI is driving unprecedented change.

Getting the most out of your data is critical for any business in a competitive environment. Businesses need the ability to get the right data into the right hands at the right time.

Integrating geography and location information with AI brings a powerful new dimension to understanding the world around us.