Create Azure Data Lake Storage-Connected Nintex Workflows

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Use CData Connect Cloud to connect to Azure Data Lake Storage from Nintex Workflow Cloud and build custom workflows using live Azure Data Lake Storage data.

Nintex Workflow Cloud is a cloud-based platform where you can design workflows to automate simple or complex processes using drag-and-drop interactions — without writing any code. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Azure Data Lake Storage data for business applications. This article shows how to create a virtual database for Azure Data Lake Storage in Connect Cloud and build a simple workflow from Azure Data Lake Storage data in Nintex.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Azure Data Lake Storage, allowing you to build workflows from live Azure Data Lake Storage data in Nintex Workflow Cloud — without replicating the data to a natively supported database. Nintex allows you to access data directly using SQL queries. 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 quickly return the requested Azure Data Lake Storage data.

Create a Virtual MySQL Database for Azure Data Lake Storage Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Log into Connect Cloud and click Databases.
  2. Select "Azure Data Lake Storage" from Available Data Sources.
  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 Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Azure Data Lake Storage data from Nintex.

Connect to Azure Data Lake Storage in Nintex

The steps below outline creating a new connection for access to Azure Data Lake Storage CData Connect Cloud from Nintex to create a new Azure Data Lake Storage data source.

  1. Log into Nintex Workflow Cloud
  2. In the Connections tab, click "Add new"
  3. Select MySQL as the connector and click "Connect"
  4. In the MySQL connection wizard, set the following properties:
    • Connection Name: name the connection (e.g., CData Connect Cloud Azure Data Lake Storage Connection)
    • Username: your Connect Cloud username
    • Password: your Connect Cloud password
    • Database Host: your Connect Cloud MySQL endpoint (e.g., myinstance.cdatacloud.net)
    • Database Name: the virtual Azure Data Lake Storage database (e.g., ADLS1)
  5. Click "Connect"
  6. Configure the connection permissions and click "Save permissions"

Create a Simple Azure Data Lake Storage Workflow

With the connection to CData Connect Cloud configured, we are ready to build a simple workflow to access Azure Data Lake Storage data. Start by clicking the "Create workflow" button.

Configure the Start Event Action

  1. Click the start event task and select the "Form" event
  2. Click "Design form"
  3. Drag a "Text - Long" element onto the Form and click the element to configure it
    • Set "Title" to "Enter SQL query"
    • Set "Required" to true
  4. Drag a "Text - Short" element onto the Form and click the element to configure it
    • Set "Title" to "Enter desired result column"
    • Set "Required" to true

Configure an "Execute a Query" Action

  1. Add an "Execute a query" action after the "Start event: Form" action and click to configure the action
  2. Set "SQL Script" to the "Enter SQL Query" variable from the "Start event" action
  3. Set "Column to retrieve" to the "Enter desired result column" variable from the "Start event" action
  4. Set "Retrieved column" to a new variable (e.g., "values")

Configure a "Send an Email" Action

  1. Add a "Send an email" action after the "Execute a query" action and click to configure the action
  2. Set the "Recipient email address"
  3. Set the "Subject"
  4. Set the "Message body" to the variable created for the retrieved column

Once you configure the actions, click "Save," name the Workflow, and click "Save" again. You now have a simple workflow that will query Azure Data Lake Storage using SQL and send an email with the results.

To learn more about SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, check out the CData Connect Cloud. Sign up for a free trial and reach out to our Support Team if you have any questions.