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

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When using the Azure Cloud platform for storing data, strategies must be devised to ensure that the storage solution is the best fit for the data that is being stored.
In this course, you'll learn strategies for determining the best Azure Storage option based on the type of data being stored and other factors. Next, you'll explore the differences between structured and unstructured data types and strategies and mechanisms for securing storage account data. Finally, you'll learn how to encrypt and decrypt blobs using the Azure Key Vault, how to create a virtual machine using an Azure Storage Account, how to upload data to Azure Storage in parallel, how to download data from Azure Storage, and how to configure metrics to monitor data throughput.
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: Storage Strategy discover the key concepts covered in this course describe strategies for determining the best Azure Storage option based on the type of data being stored and other factors differentiate between structured and unstructured data types and recognize how they can be stored in Azure describe strategies and mechanisms for securing storage account data upload and download blob data to and from an Azure Storage Account describe the options for storing data using Azure Storage Services create a virtual machine and an Azure Storage Account upload data to Azure Storage in parallel download data from Azure Storage configure metrics for a storage account to monitor throughput summarize the key concepts covered in this course