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CData Sync

Replicate Azure Data Lake Storage Data for Use in Salesforce Connect



Replicate Azure Data Lake Storage data to a PostgreSQL database on Heroku and connect it to Salesforce using Salesforce Connect.

CData Sync is a stand-alone application that provides solutions for a variety of replication scenarios, such as replicating sandbox and production instances into your database. By replicating Azure Data Lake Storage data to a PostgreSQL database in Heroku, you gain access to Azure Data Lake Storage external objects (using Salesforce Connect) alongside standard Salesforce objects.

Requirements

For this replication example, you need the following:

  1. CData Sync (trial or licensed), along with a license (full or trial) for Azure Data Lake Storage replication.
  2. A Heroku app with the Heroku Postgress and Heroku Connect add-ons provisioned.
  3. A Salesforce account.

Configure the Replication Destination

Using CData Sync, you can easily replicate Azure Data Lake Storage data to a PostgreSQL database on Heroku. For this article, you need an existing PostgreSQL database on Heroku. To add your PostgreSQL database as a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select PostgreSQL as the destination and enter the necessary connection properties.

    To connect to PostgreSQL, set the Host, Port (the default port is 5432) and Database connection properties, then set the user and password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.

  3. Click Test Connection to ensure the connection is configured properly.
  4. Click Save Changes.

Configure the Azure Data Lake Storage Connection

You can configure a connection to Azure Data Lake Storage from the Connections tab. To add a connection your Azure Data Lake Storage data, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Azure Data Lake Storage).
  3. Configure the connection properties.

    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 Connect to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure Queries for Each Azure Data Lake Storage Instance

CData Sync enables you to control replication with a point-and-click interface. To configure a replication, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use the Transform feature to customize your replication, whether you want to only replicate specific fields, compute new fields based on existing fields, and/or filter the results based on specific conditions:

  • Add or remove fields using the check boxes
  • Add computed fields to the bottom of the column listing
  • Add filters using the Filter section

As you make changes using the interface, the SQL query used for the replication changes, going from something simple, like this:

REPLICATE [Resources]

to something customized and more complex, like this:

REPLICATE [Resources] SELECT [FullPath], [Permission] FROM [Resources] WHERE [Type] = FILE

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals, ranging from once every 10 minutes to once every month.

Once you configure the replication job, click Save Changes. You can configure any number of jobs to replicate Azure Data Lake Storage data for use as external objects in Salesforce.

Connect to Your Replicated Azure Data Lake Storage Data as an External Data Source

Once your Azure Data Lake Storage data is replicated to the PostgreSQL database on Heroku, configure the OData interface for Heroku and connect to the database as an external data source via Salesforce Connect.

Configure the OData Service for Heroku

The first part of connecting to Azure Data Lake Storage data replicated to a PostgreSQL database on Heroku is configuring the Heroku External Objects for the database.

  1. In your Heroku dashboard, click the Heroku Connect Add-On.
  2. Select External Objects. (If this is the first time using Heroku External Object, you will be prompted to create the OData service's login credentials)
  3. View the OData service URL and credentials (noting the URL and credentials to be used later from Salesforce Connect).
  4. In Data Sources, select which replicated tables to share.

Refer to the Heroku documentation for more detailed instructions.

Configure an External Data Source in Salesforce

After the OData service for Heroku is configured, we can connect to the replicated Azure Data Lake Storage data as an external data source from Salesforce Connect.

  1. In Salesforce, click Setup
  2. In the Administration section, click Data -> External Data Sources
  3. Set the data source parameter properties:
    • External Data Source: the name you wish to display in the Salesforce user interface
    • Name: a unique identifier for the API
    • Type: Salesforce Connect: OData 4.0
    • URL: Enter the OData endpoint from Heroku Connect (above)
    • Format: JSON
  4. Set Authentication:
    • Identity Type: Named Principal
    • Authentication Protocol: Password Authentication
    • Username: the Heroku Connect username
    • Password: the Heroku Connect password
  5. Click Save.

Synchronize Azure Data Lake Storage Objects

After you have created the external data source in Salesforce, follow the steps below to create Azure Data Lake Storage external objects that reflect any changes in the data source. You will synchronize the definitions for the Azure Data Lake Storage external objects with the definitions for Azure Data Lake Storage tables.

  1. Click the link for the external data source you created.
  2. Click Validate and Sync.
  3. Select the Azure Data Lake Storage tables you want to work with as external objects and click Sync.

Access Azure Data Lake Storage Data as Salesforce Objects

At this point, you will be able to connect to and work with your replicated Azure Data Lake Storage entities as external objects just as you would with standard Salesforce objects, whether you are simply viewing the data or building related lists of external Azure Data Lake Storage data alongside standard Salesforce objects.

Download a 30-day free trial of CData Sync and replicate your Azure Data Lake Storage data for use with Salesforce Connect today!