IT Skills     Cloud Computing and Virtualization     Microsoft     DP-100: Designing and Implementing a Data Science Solution on Azure

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Unstructured data is prevalent in business and needs specific datastores for storing and managing this type of data. Azure provides several database systems that fulfill these needs.
In this course, you'll learn about the types of non-relational data and available Azure non-relational datastores. Next, you'll explore Azure Cosmos DB and the available API models that can be used with it. Next, you'll learn about the features and how to work with Azure data blobs and Azure Data Lake Storage Gen2. Finally, you'll examine how to secure data by using dynamic data masking and encrypting data at rest and in motion in Azure.
This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

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Objectives

DP-100 - Azure Data Scientist Associate: Non-relational Data Stores discover the key concepts covered in this course describe the types of non-relational data and the available Azure non-relational datastores describe the features of the Azure Cosmos DB and what makes it a schema-free database create an Azure Cosmos DB using the Azure portal describe the features and best practices for working with Azure data blobs create an Azure Blob Storage container, and upload, download, and delete a blob describe Azure Data Lake Storage Gen2 and some of its features create an Azure Data Lake Storage Gen2 solution describe the concepts and features of dynamic data masking using the Azure portal describe the concepts and features of the encrypting data at rest and in motion in Azure summarize the key concepts covered in this course