Access Live Azure Data Lake Storage Data in Excel (Desktop)

Microsoft Excel is a widely used spreadsheet software application, primarily used for tasks related to data management, analysis, and visualization. When combined with Connect Spreadsheets by CData, you gain immediate access to Azure Data Lake Storage data directly within Excel, facilitating data analysis, collaboration, calculations, and more. This article shows how to connect to Azure Data Lake Storage in Connect Spreadsheets and access live Azure Data Lake Storage data in Excel spreadsheets.

Connect Spreadsheets is the easiest way to get all your live data into Microsoft Excel and Google Sheets - no more downloading, wrangling, and uploading files again. Just connect to your data, select the dataset you'd like to see, and import it into your spreadsheet.

Configure Azure Data Lake Storage Connectivity for Excel

Connectivity to Azure Data Lake Storage from Excel is made possible through Connect Spreadsheets. To work with Azure Data Lake Storage data from Excel, we start by creating and configuring a Azure Data Lake Storage connection.

1. Log into Connect Spreadsheets, click Connections and click Add Connection
2. Select "Azure Data Lake Storage" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

   Authenticating to a Gen 1 DataLakeStore Account

   Gen 1 uses OAuth 2.0 in Azure AD for authentication.

   For this, an Active Directory web application is required. You can create one as follows:

   1. Sign in to your Azure Account through the .
   2. Select "Azure Active Directory".
   3. Select "App registrations".
   4. Select "New application registration".
   5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
   6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
   7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

   To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen1.
   • Account: Set this to the name of the account.
   • OAuthClientId: Set this to the application Id of the app you created.
   • OAuthClientSecret: Set this to the key generated for the app you created.
   • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Authenticating to a Gen 2 DataLakeStore Account

   To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen2.
   • Account: Set this to the name of the account.
   • FileSystem: Set this to the file system which will be used for this account.
   • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure Data Lake Storage Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Azure Data Lake Storage data from Excel.

Access Live Azure Data Lake Storage Data in Excel

The steps below outline connecting to Connect Spreadsheets from Excel to access live Azure Data Lake Storage data.

1. Open Excel, create a new sheet (or open an existing one).
2. Click Insert and click Get Add-ins. (if you have already installed the Add-In, jump to step 4).
3. Search for Connect Spreadsheets and install the Add-in.
4. Click Data and open the CData Connect Spreadsheets Add-In.
5. In the Add-In panel, click "Log in" to authenticate with your Connect Spreadsheets account
6. In the Connect Spreadsheets panel in Excel, click Import
7. Choose a Connection (e.g. ADLS1), Table (e.g. Resources), and Columns to import
8. Optionally add Filters, Sorting, and a Limit
9. Click Execute to import the data and opt to overwrite the existing sheet or create a new one.

Live Access to Azure Data Lake Storage Data from Spreadsheet Apps

New, you have a direct, cloud-to-cloud connection to live Azure Data Lake Storage data from your Excel workbook. You can add more data to your workbook for calculations, aggregations, collaboration, and more.

Try Connect Spreadsheets and get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from Microsoft Excel.