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Implementing Azure Cloud Design Patterns

You're reading from   Implementing Azure Cloud Design Patterns Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788393362
Length 300 pages
Edition 1st Edition
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Authors (2):
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Oliver Michalski Oliver Michalski
Author Profile Icon Oliver Michalski
Oliver Michalski
Stefano Demiliani Stefano Demiliani
Author Profile Icon Stefano Demiliani
Stefano Demiliani
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Data Storing and Processing

In the first chapter, I tried to give you an initial insight into the Azure platform with a comprehensive introduction. In the second chapter, we then followed with the question: Which technologies should we use?

The answers to this question fall into the following two areas:

  • Compute: Compute is the area in which you deploy (host) your applications. This can, for example, be done as an Azure VM, but it is also conceivable within a microservices architecture.
  • Data storing and processing: This area is easily explained. No application can exist today without being able to store and, if necessary, process data. This can, for example, be done by Azure Storage, but also by a more complex solution such as Azure Data Lake.

In the last chapter, we dealt with solutions in the area of compute. In this chapter, we will look at solutions in the area of data storing...

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