Automated Testing Collaboration Using Git and CI/CD Workflows

Описание: Datagaps DataOps suite’s version control capability empowers teams to efficiently manage test cases across development, QA, and production environments using Git-based CI/CD workflows. Users can sync, reuse, and merge test assets without duplication, track changes with branch mapping, and resolve conflicts seamlessly.

This enables collaborative, scalable data pipeline testing automation, ensuring updates are thoroughly validated before release. The system supports auditability, faster feedback cycles, and minimizes errors by catching issues early in development.

By integrating with Git repositories and offering automated syncing of data sources and test rules, Datagaps streamlines DevOps for data, boosting both developer and QA productivity while ensuring data quality.

Key Moments (Timestamps):

00:00:02 - Introduction to Version Control in DataOps Suite
00:00:11 - Overview of Git Integration and CI/CD Workflows
00:00:27 - Branching in Enterprise Deployments (Agile/Waterfall)
00:00:42 - Main/Release Branch for Production-Grade Code
00:01:03 - Feature/Dev Branch for Safe Development
00:01:20 - Automated Testing and Pull Requests
00:02:06 - QA Branch for Comprehensive System Testing
00:02:20 - Reusability of Test Cases Across Branches
00:03:24 - End-to-End Validation and BI Report Issues
00:04:12 - UAT Branches for Specific Use Cases
00:06:48 - Demo: Setting Up QA and Dev Branches
00:07:27 - Configuring Git Integration (ADO Example)
00:09:29 - Syncing Test Cases with Git Repository
00:10:33 - Developer Workflow: Creating Dev Branch
00:12:47 - Syncing Data Sources (SQL Server, S3)
00:13:29 - Updating Transformation Logic and Rules
00:14:11 - Adding New Test Cases
00:16:33 - Handling Conflicts in QA Branch Updates
00:18:36 - Creating and Merging Pull Requests
00:20:08 - Resolving Conflicts During Merge
00:21:13 - Benefits of Version Control and Automation
00:21:41 - Contact Information and Free Demo

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