Exporting data from Azure DevOps to CSV is a critical task for developers and project managers who need to analyze and manipulate their data efficiently.
This guide provides a step-by-step approach to extract Azure DevOps data into CSV format, ensuring a seamless and accurate export process.
We will also explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
It is possible to export work items from Azure DevOps. You can export work items by retrieving specific fields such as the work item's ID, title, description, and parent/child items.
Azure DevOps supports bulk import and export of work items using CSV files. This functionality is available starting from Azure DevOps Server 2019 Update 1. The CSV export feature allows you to modify and manage work item data efficiently.
The CSV file used for import must contain the Work Item Type and Title fields. Additional fields can be included as needed. When importing work items to a different project, be sure to remove the work item ID from the CSV file.
Exported CSV files can be edited to prepare the data for re-import or to make bulk updates. Note that multi-line text fields may be handled differently by Excel, and HTML fields must include appropriate HTML tags.
You can also use a GET request to retrieve and format query items as an xlsx file. Additionally, the witadmin tool provides commands such as 'exportwitd' to export definitions of work item types to an XML file, which can then be converted to CSV if needed.
Excel can be used for bulk importing and updating work items. This can be particularly useful for handling multi-line text fields or making bulk modifications before re-importing the data into Azure DevOps.
The witadmin command-line tool can manage work item types extensively, including exporting definitions and handling global lists referenced by work item types. This is useful for complex project management and bulk editing tasks.
Automating CI/CD Pipelines |
A well-established e-commerce company leveraged Azure DevOps to implement CI/CD pipelines. This automation significantly speeded up software delivery, improved software quality, and enhanced collaboration among development teams. |
Infrastructure as Code (IaC) |
A financial institution used Azure DevOps for Infrastructure as Code (IaC), enabling automated provisioning, configuration, and scaling of infrastructure resources. This resulted in increased efficiency, reduced errors, and notable cost savings. |
DevSecOps Integration |
A healthcare organization integrated DevSecOps practices using Azure DevOps. This led to reduced vulnerabilities, faster compliance, improved visibility into the development lifecycle, and significant cost savings. |
Microservices and Kubernetes |
A startup adopted a microservices architecture and Kubernetes orchestration through Azure DevOps. This improved scalability, resource allocation, and developer productivity, making the development process more efficient and responsive. |
Enhanced Collaboration and Communication |
Azure DevOps enhances collaboration among multiple departments, fostering better communication and teamwork. Teams can collaborate across disciplines, track work, and manage projects efficiently using Azure Boards and other collaborative tools. |
Flexible Deployment Solutions |
Azure DevOps supports both cloud-based and on-premises deployments, providing flexibility for teams to manage code and tasks with maximum control and security. It also offers cloud-based build and testing services, which provide extensive resources for continuous integration and delivery. |
Customizable Pipelines |
Azure DevOps allows for fully customizable pipelines, accommodating both manual processes and automated steps as required. This flexibility ensures that deployment processes can be tailored to meet specific project needs and complexities. |
Comprehensive Project Management |
Azure DevOps offers end-to-end tools for software creation, deployment, and management. Agile teams can collaborate effectively using Azure Boards, which are instrumental in planning, tracking, and managing projects and portfolios. |
Sourcetable is an innovative spreadsheet solution that centralizes all your data from various sources into one place. Unlike Azure DevOps, which focuses on software development and lifecycle services, Sourcetable is designed for real-time data querying and manipulation.
With Sourcetable, you can extract precise data from your database instantly. Its spreadsheet-like interface simplifies the data manipulation process, making it intuitive and accessible for users without extensive technical skills.
Sourcetable's main advantage over Azure DevOps is its ability to handle multiple data sources efficiently. This feature ensures all your business data is synchronized and easily manageable, allowing for more dynamic and flexible data operations.
To start a new query, go to the Queries in the Boards area and click on New Query. Filter by Work Item Type = [Any] and State = [Any], then run the query.
No, exporting work items to CSV from Azure DevOps does not require Excel.
You can use the export feature available with Azure DevOps Server 2019 Update 1 and later versions to export work items from one project. Make sure to remove the work item ID before importing into another project.
The CSV file must contain the Work Item Type and the Title fields. You can also include other fields as needed.
You can use witadmin commands to manage work item types. For example, the exportwitd command exports the definition of a work item type to an XML file.
Exporting data from Azure DevOps to CSV is straightforward with the right steps. This process ensures that you can leverage your data effectively for further analysis and reporting.
With your data now in CSV format, you can unlock deeper insights.
Sign up for Sourcetable to analyze your exported CSV data with AI in a simple-to-use spreadsheet.