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Hands-On Enterprise Application Development with Python

You're reading from   Hands-On Enterprise Application Development with Python Design data-intensive Application with Python 3

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789532364
Length 374 pages
Edition 1st Edition
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Author (1):
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Saurabh Badhwar Saurabh Badhwar
Author Profile Icon Saurabh Badhwar
Saurabh Badhwar
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Table of Contents (19) Chapters Close

Preface 1. Using Python for Enterprise 2. Design Patterns – Making a Choice FREE CHAPTER 3. Building for Large-Scale Database Operations 4. Dealing with Concurrency 5. Building for Large-Scale Request Handling 6. Example – Building BugZot 7. Building Optimized Frontends 8. Writing Testable Code 9. Profiling Applications for Performance 10. Securing Your Application 11. Taking the Microservices Approach 12. Testing and Tracing in Microservices 13. Going Serverless 14. Deploying to the Cloud 15. Enterprise Application Integration and its Patterns 16. Microservices and Enterprise Application Integration 17. Assessment 18. Other Books You May Enjoy

Maintaining database consistency

Databases usually have a lot of operations happening in parallel throughout the life of an application after it has been deployed. These operations can be as simple as retrieval of information from the database, or can be operations that modify the state of the database by inserting new records, updating existing ones, or deleting others. Most of the databases that are currently being used in production by large organizations have been built with quite a lot of resilience, in terms of dealing with errors and crashes that can happen in the environment to disturb the normal functioning of a database. These methods prevent the corruption of data and downtime.

But this does not relieve the application developer completely of the fact that they still need to be careful about maintaining the consistency of the data inside the database. Let's try...

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