
Enterprise Patterns: Concurrency in Business Applications
When multiple users are editing the same data, concurrency effects can result in lost work or errors. This course teaches you how to prevent concurrency errors at database level, and for business transactions that span multiple pages and postbacks.
Learning Journey Context
Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.
Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
What You’ll Learn
When developing applications where multiple users can edit the same data, concurrency effects can result in work being overwritten and inconsistent data being read, which can cost a business time, money, and frustration. In this course, Enterprise Patterns: Concurrency in Business Applications, you'll learn how to recognize and prevent these types of errors. First, you'll explore how to use isolation levels within database transactions. Next, you'll discover how to implement optimistic and pessimistic concurrency in code for long-running business transactions. Finally, you'll learn how to design a locking framework for your application. When you're finished with this course, you'll have a foundational knowledge of concurrency patterns that will help you as you move forward to design more robust, enterprise applications. Software required: Microsoft Visual Studio.
Outcomes
- Course Overview : 2mins.
- Understanding Concurrency in Business Applications : 38mins.
- Implementing the Optimistic Offline Lock Pattern : 39mins.
- Implementing the Pessimistic Offline Lock Pattern : 35mins.
- Implementing the Coarse-grained Lock Pattern : 40mins.
- Implementing the Implicit Lock Pattern : 18mins.
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