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Low-Code Application Development with Appian

You're reading from   Low-Code Application Development with Appian The practitioner's guide to high-speed business automation at enterprise scale using Appian

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781800205628
Length 462 pages
Edition 1st Edition
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Author (1):
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Stefan Helzle Stefan Helzle
Author Profile Icon Stefan Helzle
Stefan Helzle
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Table of Contents (22) Chapters Close

Preface 1. Section 1: No-Code with Appian Quick Apps
2. Chapter 1: Creating an Appian Quick App FREE CHAPTER 3. Chapter 2: Features and Limitations of Appian Quick Apps 4. Chapter 3: Building Blocks of Appian Quick Apps 5. Chapter 4: The Use Cases for Appian Quick Apps 6. Section 2: A Software Project with Appian 7. Chapter 5: Understanding the Business Context 8. Chapter 6: Understanding Business Data in Appian Projects 9. Chapter 7: Understanding Business Processes in Appian Projects 10. Chapter 8: Understanding UX Discovery and the UI in Appian Projects 11. Section 3: Implementing Software
12. Chapter 9: Modeling Business Data with Appian Records 13. Chapter 10: Modeling Business Processes in Appian 14. Chapter 11: Creating User Interfaces in Appian 15. Chapter 12: Task Management with Appian 16. Chapter 13: Reporting and Monitoring with Appian 17. Section 4: The Code in Appian Low-Code
18. Chapter 14: Expressing Logic with Appian 19. Chapter 15: Using Web Services with Appian Integrations 20. Chapter 16: Useful Implementation Patterns in Appian 21. Other Books You May Enjoy

Best practices

Best practices with web services are a bit difficult. While the protocols and formats are pretty simple, there are endless variations in implementations. Also, to be honest, implementing a good web service is pretty difficult, as it typically needs to deal with all the internal issues and implementation details of the underlying system.

As if that wasn't enough, there's a whole world in between. Slow networks, dropped VPN connections, and errors in all sorts of network components. But, some practices make life a bit easier.

Validate incoming data

Do never trust incoming data!

When receiving data, make sure that any data, text, or number is within the agreed boundaries: the text is not too long, a birthdate is in the future, or the amount of an invoice is negative. Anything that could be wrong, will be wrong!

Create an expression rule that takes the data, validates each field, and returns a map like this:

a!map(
  valid: false,
&...
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