Access Live Azure Data Lake Storage Data in Google Sheets

Google Sheets is a web-based spreadsheet program provided by Google. When integrated with CData Connect Cloud, you can effortlessly gain access to Azure Data Lake Storage data directly within Google Sheets for tasks such as data analysis, collaboration, calculations, and more. This article offers a comprehensive guide on connecting to Azure Data Lake Storage within your Connect Cloud instance and accessing live Azure Data Lake Storage data seamlessly within Google Sheets.

CData Connect Cloud offers a seamless cloud-to-cloud interface designed for Azure Data Lake Storage, enabling effortless access to live Azure Data Lake Storage data directly within Google Sheets. Use the dedicated Connect Cloud Google Sheets Plug-In to connect with live Azure Data Lake Storage data. With built-in optimized data processing, CData Connect Cloud efficiently channels all supported query operations, including filters, JOINs, and more, directly to Azure Data Lake Storage. This leverages server-side processing to promptly retrieve the desired Azure Data Lake Storage data.

Configure Azure Data Lake Storage Connectivity for Google Sheets

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

1. Log into Connect Cloud, 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 Google Sheets.

Access Live Azure Data Lake Storage Data from Google Sheets

The steps below outline connecting to CData Connect Cloud from Google Sheets to access live Azure Data Lake Storage data.

1. Log into Google Sheets, create a new sheet (or open an existing one).
2. Click Add-ons and click Get Add-ons (if you have already installed the Add-on, jump to step 5).
3. Search for CData Connect Cloud Add-On and install the Add-on.
4. Authorize the Add-On.
5. Back in Google Sheets, click Add-ons and open the CData Connect Cloud Add-On.
6. In the Add-On panel, click Authorize to authenticate with your CData Connect Cloud instance
7. In the CData Connect Cloud panel in Google Sheets, click Import
8. Choose a Connection (e.g. ADLS1), Table (e.g. Resources, and Columns to import
9. Optionally add Filters, Sorting, and a Limit
10. Click Execute to import the data

Live Access to Azure Data Lake Storage Data from Cloud Applications

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

Try CData Connect Cloud and get real-time data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.