There was a time when moving data from multiple sources felt like untangling a giant knot. Every data refresh meant scripts breaking, manual checks, and long hours spent ensuring everything flowed from source to destination correctly. Then Azure Data Factory (ADF) entered the picture, and it didn’t just simplify ETL and ELT. It completely transformed how we think about data orchestration at scale.
In this step-by-step guide, we’ll go through the exact process of creating Linked Services, defining datasets, and setting up a Copy Activity to seamlessly transfer your JSON data to Parquet format.
This blog post will help you build an automated and effortless way to keep your Azure Analysis Services model up-to-date using Azure Data Factory, ensuring accurate insights with seamless refreshment.
A step-by-step guide on how to send emails to multiple recipients using SparkPost in Azure Data Factory.
Ization 