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Azure Integration Guide for Business

Azure Integration Guide for Business

By : Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams
4.8 (4)
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Azure Integration Guide for Business

Azure Integration Guide for Business

4.8 (4)
By: Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams

Overview of this book

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business. The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business. By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.
Table of Contents (15 chapters)
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Designing Big Data Solutions with Azure

The previous chapter explored container hosting and orchestration with Azure Kubernetes Service. Now we can change gears a bit and explore big data solutions.

In today’s data-driven world, the ability to harness the vast amounts of information produced daily is more than just an advantage—it’s a necessity. Data has become the lifeblood of organizations, providing the foundation for decisions and strategies. However, the sheer volume of data generated today—dubbed big data—presents unique challenges.

In this chapter, we will discuss big data in the context of data warehousing and advanced analytics and talk about solutions that allow us to use large amounts of data. With big data analytics, organizations can access more and higher-quality data, leading to better decision-making. It allows companies to base their decisions on hard data rather than intuition or observation.

Businesses can utilize big data...

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