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Azure Integration Guide for Business

You're reading from   Azure Integration Guide for Business Master effective architecture strategies for business innovation

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781837639144
Length 268 pages
Edition 1st Edition
Tools
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Authors (4):
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Trevoir Williams Trevoir Williams
Author Profile Icon Trevoir Williams
Trevoir Williams
Jack Lee Jack Lee
Author Profile Icon Jack Lee
Jack Lee
Mélony Qin Mélony Qin
Author Profile Icon Mélony Qin
Mélony Qin
Joshua Garverick Joshua Garverick
Author Profile Icon Joshua Garverick
Joshua Garverick
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Unlock New Opportunities with Azure FREE CHAPTER 2. Chapter 2: Achieve Availability, Scalability, and Monitoring with Azure 3. Chapter 3: Cloud Architecture Design Patterns 4. Chapter 4: Azure Network Infrastructure and Design 5. Chapter 5: Automating Architecture on Azure 6. Chapter 6: Optimize Performance with Azure OLTP Solutions 7. Chapter 7: Designing Serverless Architecture Solutions in Azure 8. Chapter 8: Deploying, Managing, and Scaling Containers with Azure Kubernetes Service 9. Chapter 9: Designing Big Data Solutions with Azure 10. Chapter 10: Architecting Secure Applications on a Trusted Platform 11. Chapter 11: Cost Governance on Azure 12. Chapter 12: Conclusion 13. Index 14. Other Books You May Enjoy

OLTP applications

OLTP applications help in the processing and management of transactions. Some of the most widely used OLTP implementations can be found in retail sales, financial transaction systems, and order entry. These applications perform data capture, data processing, data retrieval, data modification, and data storage. Let’s dive into transactional data a bit further.

Transactional data

The capture and usage of data that encompasses a record of business interaction is generally referred to as a transaction. Information related to creating purchase orders, sales at a cash register, a deposit at a bank, or collection of a bus fare can all be considered transactional. Systems that manage this type of data can vary in size dependent on the volume of transactions handled, as well as regional location requirements, the structure of data being stored, the security requirements for storing and processing the data, or consistency requirements that mandate near-real-time...

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