Software Development Basics
Fundamental principles and concepts
Microsoft Azure Developer: Performing Data Integrity Testing
This course teaches you how to build, release, and write database tests by Azure DevOps and Visual Studio. You will also learn how to proactively monitor that the changes made to your data or schema, does not break anything.
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo
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Course Insight
Designed for advanced/expert practitioners. Designed for experienced practitioners. We recommend having a solid grasp of Software Development fundamentals before starting this specialization.
Advanced LevelSelf-Paced LearningProject-Based
SKILLS TO
MASTER
Practical ApplicationTrending
Real-world project implementationBest Practices
Industry standard workflows and guidelinesCareers:Cloud Engineer, DevOps Engineer, Solutions Architect.
Quick Facts
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What You’ll Learn
- Course Overview : 2mins.
- Writing a Data Integrity Test : 38mins.
- Resolving Issues from Test Results : 13mins.
- Resolving Escalations Related to Data Integrity Tests : 9mins.
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Description
We need to start treating our database code, schema, and data the same way we treat our Services and UI Code, and create a modern and automated process to build, release, and write database tests using Microsoft Azure DevOps and Visual Studio Database projects, and proactively monitor that the changes made to our data or schema, does not break any of our functionalities. In this course, Microsoft Azure Developer: Performing Data Integrity Testing, you will learn how to create a modern architecture to build, release, process, and write database tests your database project to make sure your changes to your schema does not break anything. First, you will discover how to create a SQL Database project in Visual Studio, and how to import your existing database into a SQL Database project. Next, you will explore Microsoft Azure DevOps, use the Build and Release pipeline to build your SQL Database Project deploy the database to a SQL Azure Instance, and run database tests at the end of each deployment. Finally, you will discover how to investigate issues that are raised from your clients, find the root cause by running your database tests, fix the issue from your SQL Database project, and finally, release the data fix to your environment using the Azure DevOps build and release pipelines. By the end of this course, you'll know how to build a modern DevOps workflow for all your database developments, with automated build and release pipelines in Azure DevOps, proactive monitoring and implementing, and running database tests to verify your data integrity.
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