Build Azure Data Lake Storage-Connected Dashboards Using Zoho Analytics

Zoho Analytics is a modern BI and Analytics platform that allows you to connect and analyze your data, while also creating visualizations and dashboards to discover hidden insights. When paired with CData Connect Cloud, Zoho Analytics provides instant, cloud-to-cloud access to Azure Data Lake Storage data for reporting and analytics. This article demonstrates how to connect to Azure Data Lake Storage using Connect Cloud and analyze Azure Data Lake Storage data by creating dashboards in Zoho Analytics.

CData Connect Cloud provides a pure cloud-to-cloud interface for Azure Data Lake Storage, allowing you to analyze Azure Data Lake Storage data in Zoho Analytics — without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Data Lake Storage, leveraging server-side processing to return the requested Azure Data Lake Storage data quickly.

Configure Azure Data Lake Storage Connectivity for Zoho Analytics

Connectivity to Azure Data Lake Storage from Zoho Analytics is made possible through CData Connect Cloud. To work with Azure Data Lake Storage data from Zoho Analytics, 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.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured, you are ready to connect to Azure Data Lake Storage data, import data, and create dashboards from Zoho Analytics using CData Connect Cloud.

Connect to Azure Data Lake Storage in Zoho Analytics Using CData Connect Cloud

To establish a connection from Zoho Analytics to CData Connect Cloud, follow these steps.

1. Log in to Zoho Analytics.
2. Create a new connection and select Cloud Databases to open the connection modal.
3. Enter the following information:
   • Database Type - select MS SQL Server.
   • Endpoint - enter tds.cdata.com
   • SQL Server Instance Name - leave this blank.
   • Port - enter 14333
   • Username - enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, user@domain.com.
   • Password - enter the PAT you generated on the Settings page.
   • Database Name - enter the Connection Name of the CData Connect Cloud data source you want to connect to (for example, ADLS1).
   • Click Next.
4. Choose the table that you would like to import from, e.g. Resources.
5. A Data Preview of the table should pop up. Next, enter a Workspace Name and Table Name to be able to refer to in Zoho Analytics. Click Next.
6. There is an option to schedule the import periodically. After configuring, click Create.
7. Now, the import has been initiated. Click OK.
8. View your new connection in the Zoho Analytics Explorer.
9. Click on the new connection to see the table.
10. Zoho Analytics can auto-generate dashboards for the user, as seen here:

We have successfully imported Azure Data Lake Storage data into Zoho Analytics and created dashboards.

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