35 guides
Pipelines, integration runtimes, linked services, Key Vault and monitoring.
Azure Logic Apps and Azure Data Factory (or Synapse Analytics) are a great combination, you can execute Azure Logic Apps from Azure Data Factory or Synapse Analytics easily.
Creating a data factory in Azure Data Factory is a straightforward process. You start by defining your data sources and destinations, then create a pipeline that defines the data movement or transformation.
To extract Power BI Objects with Azure Data Factory or Synapse Analytics - workspaces, reports, datasets deployed to Power BI tenant - create or download the solution here.
How to connect to your SharePoint lists from Azure Data Factory or Synapse Analytics. This post is intended for SharePoint online lists.
How to monitor Azure Data Factory Activities with Power BI. From finding the number of rows loaded to identifying pipelines to enhance.
Learn how to identify long-running Azure Data Factory workloads to locate unusual performance in your data movement and minimize costs.
A comparison of Azure Data Factory vs SSIS, considering people, processes and technical characteristics.
A look at Azure Data Factory Connectors using a Power BI Report. An introduction and list of all the connectors.
How to start and stop an Azure VM (Virtual Machine) using Azure Data Factory or Azure Synapse pipelines to optimize ongoing costs.
Learn what Azure Data Factory Global Parameters are and how to use them in your solutions. A step by step tutorial.
