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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

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781837639144

Length 268 pages

Edition 1st Edition

Tools

Azure

Concepts

Cloud Computing

Authors (4):

Trevoir Williams

Jack Lee

Mélony Qin

Joshua Garverick

View More author details

Table of Contents (15) Chapters

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

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14. Other Books You May Enjoy

Utilizing AI for intelligent solutions

Artificial Intelligence (AI) can be used for intelligent solutions in various sectors because it can analyze large amounts of data, learn from it, and make predictions or decisions. This can remove some errors associated with the manual human element and improve efficiency, effectiveness, and personalization. As AI continues to improve, we can expect to see even more innovative uses of AI in various sectors.

AI and big data are two revolutionary technologies transforming how we conduct business and live our lives. As we know, big data refers to large and diverse datasets of information that grow ever-increasingly. Conversely, AI refers to machines that can perform tasks that normally require human intelligence. When integrated, AI and big data provide powerful capabilities to extract meaningful insights and make informed decisions.

Integrating AI with big data produces opportunities for the following:

Predictive analytics: Machine...

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Authors (4)

Joshua Garverick

Joshua Garverick

Joshua Garverick is a Microsoft MVP (Most Valuable Professional) and a seasoned IT professional with nearly two decades of enterprise experience in several large industries (finance, healthcare, transportation, and logistics). He specializes in Azure application and platform architecture and is currently involved with application modernization and digital transformation projects. Josh is a Microsoft Certified Solution Expert (MCSE) in Cloud Platform and Infrastructure, a certified Microsoft Azure Solution Architect Expert, and a Microsoft DevOps Engineer Expert.

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Mélony Qin

Mélony Qin

Mélony Qin, aka CloudMelon, is a Microsoft senior cloud computing technology evangelist. She is an accomplished blogger and published book author and co-author for two Packt books namely Microsoft Azure Infrastructure and The Kubernetes Workshop. She is also the technical reviewer for Azure for Architects, Third Edition. She is mainly working on her contributions towards OSS, DevOps, Kubernetes, serverless, big data analytics, and IoT on Microsoft Azure in the community.

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Jack Lee

Jack Lee

Jack Lee is a senior Azure certified consultant and an Azure practice lead with a passion for software development, cloud, and DevOps innovations. He is an active Microsoft tech community contributor and has presented at various user groups and conferences, including the Global Azure Bootcamp at Microsoft Canada. Jack is an experienced mentor and judge at hackathons and is also the president of a user group that focuses on Azure, DevOps, and software development. He is the co-author of Azure for Architects and Cloud Analytics with Microsoft Azure, published by Packt Publishing. He has been recognized as a Microsoft MVP for his contributions to the tech community. You can follow Jack on Twitter at jlee_consulting.

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Trevoir Williams

Trevoir Williams

Trevoir Williams, a passionate software and system engineer from Jamaica, shares his extensive knowledge with students worldwide. Holding a Master's degree in Computer Science with a focus on Software Development and multiple Microsoft Azure Certifications, his educational background is robust. His diverse experience includes software consulting, engineering, database development, cloud systems, server administration, and lecturing, reflecting his commitment to technological excellence and education. He is also a talented musician, showcasing his versatility. He has penned works like Microservices Design Patterns in .NET and Azure Integration Guide for Business. His practical approach to teaching helps students grasp both theory and real-world applications.

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