The article discusses how to split a CSV file located in an Azure Storage Account using Azure Data Factory Data Flow and Azure Bicep. It also highlights the benefits of Infrastructure as Code (IaC), including reviewing the planned infrastructure, reproducible and testable infrastructures with templating deployments.
Introducing Bicep: A New Way to Handle Data in Azure
For tech enthusiasts and developers alike, the ability to effectively manage data is crucial. Microsoft’s Azure Data Factory has introduced a new feature that allows users to split a CSV file into multiple output files. This is done through Azure Bicep, a tool that demonstrates the benefits of Infrastructure as Code (IaC).
What’s New: Azure Bicep
Azure Bicep, a new addition to the Azure family, is designed to simplify the process of writing, validating, and deploying infrastructure as code. This tool allows users to split a CSV file located in an Azure Storage Account through Azure Data Factory Data Flow.
Major Updates: Infrastructure as Code (IaC)
The introduction of Infrastructure as Code (IaC) has revolutionized the way we handle data. IaC allows for reviewing the planned infrastructure that will be deployed through the ‘what-if’ feature. It also enables reproducible and testable infrastructures with templating deployments.
“In this article we will see how to split a csv file located in an Azure Storage Account through Azure Data Factory Data Flow. We will do it through Azure Bicep in order to demonstrate the benefits of Infrastructure as Code (IaC)” – James Dumont le Douarec
What’s Important to Know: Azure Storage Account
One of the resources required to deploy this new feature is the Azure Storage Account. This is where the test file that will be split is uploaded. A complete procedure to deploy the necessary resources is available on GitHub.
“A complete procedure to deploy the following resources is available here: https://github.com/JamesDLD/bicep-data-factory-data-flow-split-file”
In conclusion, Azure Bicep and Infrastructure as Code (IaC) are game-changers in the tech world, offering a more efficient and streamlined approach to managing data.
From the Azure Developer Community Blog