Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

Practices For Configuring Azure Data Factory In Multi-Tenant Environments By Upesh Kumar Rapolu As a professional who has earned the Microsoft Azure certification, Upesh has worked extensively ...

In an era where financial crimes grow increasingly sophisticated and regulatory scrutiny intensifies, financial institutions face the dual challenge of protecti ...

Whether you're shifting ETL workloads to the cloud or visually building data transformation pipelines, version 2 of Azure Data Factory lets you leverage conventional and open source technologies ...

If you want to make good data-driven decisions, it’s critical for your data to be as accurate as possible. But ensuring the accuracy of data can be a difficult task in large enterprise environments ...

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory.

Also new are iterative debugging tools in the Azure Data Factory design environment, new flexible pipeline scheduling options and enhanced SDK support for Python, .NET, REST and PowerShell.

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...