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 ...

Microsoft wants its Azure cloud platform to be the default place for organizations to run their workloads. In an ideal world (in their view anyway), all those workloads would be built upon ...

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 ...

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

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 ...

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 ...

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).

The platform leverages Azure Data Factory, Azure SQL and Azure Stream Analytics to reduce complexity and simplify data integration. With the platform configured to optimise data streaming, capturing ...