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 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.

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 ...

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 ...

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 long-awaited follow-up to Azure Data Catalog is here, featuring integration with both Power BI and Azure Synapse Analytics. And with the GA of Synapse's data lake features also being announced ...