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Home » Azure Data Lake Storage Account

Azure Data Lake Storage Account

  • by Pradeep Raturi
  • Microsoft Azure

Create a Azure Data Lake Storage Account




Microsoft Azure Data Lake is a highly scalable public cloud service that allows users to gain insight from large, complex data sets.

As with most data lake offerings, the service is composed of two parts: Data Storage and Data Analytics.

Data Storage : The service allows you to store data of any size that can be structured, semi-structured or un-structured produced from applications including relational databasaes, videos, web based application, system devices so on..

Data Analytics : Azure Data Lake Analytics is a parallel on-demand job service. It provides a distributed infrastructure that can dynamically allocate or de-allocate resources so customers pay for only the services they use.

Here we will see, how to create a Azure Data Lake Account using azure portal.

First we will create a Data Lake Analytics account, while creating a Data Lake Analytics account, we associate it with ResourceGroup and Data Lake Storage account.

Lets go through the following steps to create azure data lake account.

Go to Home Page, and just started typing in search bar as data lake.

You will see a Data lake Analytics appears in auto suggested search list. Just click on Data lake Analytics as shown in below screenshot.

 

Once you click on Data Lake Analytics, a Data Lake Analytics page opens.

Here you have two way to create a Data lake Analytics either you can click on +Add button or click on create data lake analytics button as shown in below screenshot.

Lets click on create data lake analytics button.

 

 

Once you click on create data lake analytics button, a New Data Lake Analytics account page opens.

Provide details for Analytics account accordingly.

If you have already created a resourcegroup then you can select an existing resourcegroup else you can create a new resourcegroup by just click on create new button.

Next, Provide a details for Data lake Analytics, Data lake account name, then select location.

Next you have to associate data lake analytics account with Data lake storage account, select an existing data lake storage account, if you do not have any then create a new data lake storage account.

Once you click on create new button, you will see a Create Azure Data Lake Gen1 window opens on the left side of screen, just provide a name for storage account and click on add button as shown in below screenshot.

 

After that click on Review + create button.

 

Once you clikc on Review + create button, it displays a summary of details for account, that you can validate before creating an account.

Next click on create button.

 




Once you click on Create button, you will get a deployment is complete message on your screen on successful.

Next, click on Go to Resource button.

 

After that, you will be redirecting to azure data lake analytics account. Now you are ready to use it.

 

You can also see your Data Lake Analytics and Data Lake Storage Account details under Resource Group.

Go to home page, click on Resource Group which are associated with Data lake anaytics accounts.

You can see in below screenshot, Data Lake Analytics and Data Lake Storage Account under Recource Group.

Also Read..

Upload Files to Azure Data Lake Storage

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Tags:Azureazure data lakeAzure data lake accountazure data lake anayltics usqlazure data lake storage gen1azure data lake store gen1azure portalazure resource groupazure resourcegroupAzure TutorialAzure Tutorials By Pradeep Raturicreate azure data lake analyticscreate azure data lake storgae gen 1create data lakecreating an azure data lake accountdata lake account gen1data lake analyticsdata lake gen 1data lake gen1 azuredata lake storage accountdata lake storage gen1data lake storehow to create data lake analytics account in azureIntroduction to azureIntroduction to Azure Data lake storageIntroduction to Azure Storagemicrosoft azuremicrosoft azure data lakems azureresource group in azurewhat is data lake

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Microsoft Azure

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