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John Savill and Gary Grudzinskas

Building data solutions on the Microsoft Azure cloud platform requires a deep understanding of how data architecture is implemented in Azure. This path conveys how cross-cutting data solution concerns, such as distributed processing and partitioning, data recovery strategies, high availability, and scale are managed on the Azure platform.

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Building data solutions on the Microsoft Azure cloud platform requires a deep understanding of how data architecture is implemented in Azure. This path conveys how cross-cutting data solution concerns, such as distributed processing and partitioning, data recovery strategies, high availability, and scale are managed on the Azure platform.

What You'll Learn

  • Choose the appropriate Azure Data Platform solutions based on business requirements
  • Implement relational and non-relational data stores on Azure
  • Design data solutions on Azure with security, availability, and disaster recovery in mind
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    What's inside

    Two courses

    Selecting an Appropriate Data Storage Service in Microsoft Azure

    (1 hours)
    The world will need to deal with the expansion of both the type and volume of data. In this course, you will learn how to use Azure data services effectively. This is where you begin to learn about data engineering.

    Managing Data Security and Policy in Microsoft Azure

    (1 hours)
    As a critical asset, data security is essential. This course examines technologies to protect data and identify threats.

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