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Automated Continuous Sage 300 Replication to Google BigQuery

Use CData Sync for automated, continuous, customizable Sage 300 replication to Google BigQuery.

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Sage 300 data into your Google BigQuery instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Google BigQuery as a Replication Destination

Using CData Sync, you can replicate Sage 300 data to Google BigQuery. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select Google BigQuery as a destination.
  3. Enter the necessary connection properties. To connect to Google BigQuery, use OAuth authentication:

    Authenticate with a User Account

    In this OAuth flow, you can connect without setting any connection properties for your user credentials.

    1. Click Connect, and CData Sync opens the Google BigQuery OAuth endpoint.
    2. Log in and grant permissions to CData Sync.
    3. CData Sync then completes the OAuth process.

    Authenticate with a Service Account

    Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes to CData Sync.

    You need to create an OAuth application in this flow. See Creating a Custom OAuth App in the Getting Started section to create and authorize an app. You can then connect to Google BigQuery data that the service account has permission to access.

    After setting the following connection properties, you are ready to connect:

    • OAuthClientId: Set this to the Client ID in your app settings.
    • OAuthClientSecret: Set this to the Client Secret in your app settings.
    • OAuthJWTCertType: Set this to "PEMKEY_FILE".
    • OAuthJWTCert: Set this to the path to the .pem file you generated.
    • OAuthJWTCertPassword: Set this to the password of the .pem file.
    • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
    • OAuthJWTSubject: Set this to the email address of the user for whom the application is requesting delegate access. Note that delegate access must be granted by an administrator.
    • DatasetId: Set this to the ID of the dataset you want to connect to.
    • ProjectId: Set this to the ID of the project you want to connect to.
    When you connect, CData Sync completes the OAuth flow for a service account.

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

Configure the Sage 300 Connection

You can configure a connection to Sage 300 from the Connections tab. To add a connection to your Sage 300 account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (Sage 300).
  3. Configure the connection properties.

    Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

    • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
    • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
    • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

    Authenticate to Sage 300 using Basic authentication.

    Connect Using Basic Authentication

    You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

    • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
    • User: Set this to the username of your account.
    • Password: Set this to the password of your account.
  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, 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. The Transform feature allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. To customize your replication, click the Transform button in the Tables section and customize the replication.

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 15 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Sage 300 data to Google BigQuery.