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AWS Cloud Computing Concepts and Tech Analogies

AWS Cloud Computing Concepts and Tech Analogies

By : Ashish Prajapati, Juan Carlos Ruiz, Marco Tamassia
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AWS Cloud Computing Concepts and Tech Analogies

AWS Cloud Computing Concepts and Tech Analogies

5 (8)
By: Ashish Prajapati, Juan Carlos Ruiz, Marco Tamassia

Overview of this book

This book makes understanding cloud computing easy by providing relatable examples that simplify the complex technology. By drawing parallels between cloud concepts and everyday scenarios, we will demystify cloud tech, and once you start to understand it, learning cloud computing will be more enjoyable. This book will help you learn about cloud computing in general and AWS specifically, as you follow the journey of TrendyCorp—a fictitious company gearing up to move from traditional IT to cloud computing. You’ll shape your understanding of the cloud through scenarios of interactions between TrendyCorp’s new hires, seasoned IT professionals, external consultants, and the board of directors engaged in modernizing their applications. These characters’ discussions and actions are focused on learning about cloud services by drawing comparisons between the technology and examples taken from real life. Through this book, you’ll realize that cloud computing concepts have more in common with your day-to-day scenarios and situations than you’ve ever imagined. This book offers a conversational and entertaining narrative that anyone working in IT and looking to understand how the cloud works will be able to follow. By the end of it, you’ll have developed a clear and simplified perspective of cloud technologies.
Table of Contents (22 chapters)
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1
Part 1: Cloud Infrastructure and Core Services
7
Part 2: Platform Services
12
Part 3: Application Services

Non-relational databases

After the break, Berta wants to finish her explanation with non-relational databases. As there are several types that she wants to talk about, she starts as soon as possible.

Berta: AWS also offers different non-relational databases, and there are many of them. Each one of them is suited to a specific use case, for example, graph databases.

Alex: These are for graphics?

Berta: No, graph, not graphics. You can store different entities and the relationships between them, building a complex graph. They can be used in recommendation engines, fraud detection, identity graphs, and similar applications. For that purpose, Amazon Neptune would be the right choice.

You can also have databases in RAM, for extreme performance, or databases that are time-based, where you analyze time series, such as for the Internet of Things, stock prices, measurements such as temperature or pressure, or...

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