This article describes how to run a SQL Server Integration Services (SSIS) package in an Azure Data Factory pipeline by using the Stored Procedure Activity. You will need an instance of Azure Data ...

The need for batch movement of data on a regular time schedule is a requirement for most analytics solutions, and Azure Data Factory (ADF) is the service that can be used to fulfil such a requirement.

We have more access to data than ever before, but it is difficult to make sense of it when the data is incomplete or inaccurate. As such, data validation is necessary to increase data quality for ...

The action is particularly useful on Continuous Integration (CI) workflows, where a step can be added to check if all Data Factory resources (e.g. pipelines, activities, linked services, datasets, etc ...

In this blog post, we’ll walk you through how to leverage ADF pipelines for full and incremental backups of your data lake on Azure.

In this article we will describe in detail the steps to follow to complete the automatic deployment of Azure Data Factory pipelines in the Development (dev), Staging (stg) and Production (prd) ...

That is why tools such as Azure Data Factory Analytics are increasingly necessary. Although Azure Data Factory Analytics is a preview service in the Microsoft cloud, which allows integrating the ...

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 ...