Excel files are one of the most commonly used file format on the market. Popularity of the tool itself among the business users, business analysts and data engineers is driven by its flexibility, ease of use, powerful integration features and low price.
Deep-dive episode on implementing end-2-end email notifications in Azure Data Factory. In this episode I will describe out of the box options with Azure Monitor and explain why Logic Apps are better choice.
With Azure Data Factory Lookup and ForEach activities you can perform dynamic copies of your data tables in bulk within a single pipeline.
With Azure Data Factory Self-hosted integration runtime, you can now integrate your on-premise, virtual private network data sources as well as those which require your own drivers.
With Azure Data Factory Mapping Data Flow, you can create fast and scalable on-demand transformations by using visual user interface. In just minutes you can leverage power of Spark with not a single line of code written.
Choosing the right trigger type is very important task when designing data factory workflows. Today I will show you four ways to trigger data factory pipelines so you can make sure you react to your business needs better.
Parametrization in Azure Data Factory is essential to achieve good design and reusability as well as low cost of solution maintenance. Using parameters also speeds up implementation of new features in your pipelines.