Azure Data Scientist Associate: Non-relational Data Stores

Azure    |    Intermediate
  • 11 videos | 1h 15m 37s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 10 users Rating 4.7 of 10 users (10)
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

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