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Working with Azure Data Lake Store
In the second part of this activity, we will learn about the Azure Data Lake Store, and the features that distinguish its purpose.
NOTE: The Azure user interface is subject to change; so your portal may look different from the one shown in the demonstration, but the key principles are the same.
In the second part of this activity, we’ll learn about the Azure Data Lake Store and look at the features that distinguish it from Azure Storage.
Optimised for large numbers of large files
Unlike some of the other data stores, Azure Data Lake has no limits on the number of files, or size of individual files, making it a prime big data solution.
Encryption & Access control
You can assign access at a specific folder level, allowing for granular security options. Azure Data Lake also has the ability to integrate with Azure Active Directory.
Data Explorer
As the name indicates, this a tool in the Azure portal that allows you to browse and manipulate the files and folder structures visually within your data lake.
In the next step, we’ll complete this activity with a brief introduction to the command-line interface.
Join the discussion
An aged and unmanaged data lake is called a data swamp. What are some other terms you could suggest for unmanaged data stores? What would you call a mismanaged cloud storage system?Use the Discussion section below and let us know your thoughts. Try to respond to at least one other post and once you’re happy with your contribution, click the Mark as complete button to move on to the next step.
This article is from the online course:
Microsoft Future Ready: Fundamentals of Big Data
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Microsoft Future Ready: Fundamentals of Big Data
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