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

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.

The first new offering was a data discovery tool that helps clients understand where all their data is and how it changes. Then the company developed a data catalog offering to help them standardize ...

Fabric Data Factory combines Power Query with the scale and power of Azure Data Factory, and supports over 200 data connectors. Fabric Data Science integrates with Azure Machine Learning, which ...

Microsoft has announced today that Visual Studio Team Foundation Server 2015 and Azure Data Factory are now both available. There is also a new technical preview (2.2) for SQL Server 2016 that ...

Ultimately, setting up Azure Data Factory in multi-tenant settings is a challenging task that needs to be carefully planned and carried out to guarantee that data is processed effectively ...

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3 ...

Also read: Azure Data Factory v2: Hands-on overview Spark integration, and more The integration of Apache Spark seems to be more than just a "bundling" of the open source big data analytics framework.