Book Image

Azure Integration Guide for Business

By : Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams
Book Image

Azure Integration Guide for Business

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)

Why do we need big data solutions?

Data refers to raw, unprocessed, unorganized facts, or details that might not make much sense or provide context. For instance, random numbers or statistics, unprocessed observations, or individual pieces of an incomplete dataset are all examples of data.

There are three main aspects of big data, often called the “3Vs,” which are volume, velocity, and variety:

  • Volume: Refers to the massive amounts of data produced by different platforms and devices. These platforms can generate data every second, making it impossible for traditional data processing tools to handle.
  • Velocity: Refers to the speed at which data is produced and processed. Businesses require real-time or near-real-time information to make informed decisions.
  • Variety: Indicates the different types of data. Data can be structured, semi-structured (such as JSON), or unstructured (such as free text or video).

Organizations need big data solutions to...