Automated Continuous SAS Data Sets Replication to Google BigQuery

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live SAS Data Sets 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 SAS Data Sets 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 SAS Data Sets Connection

You can configure a connection to SAS Data Sets from the Connections tab. To add a connection to your SAS Data Sets account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (SAS Data Sets).
3. Configure the connection properties.
   
   

   Set the following connection properties to connect to your SAS DataSet files:

   Connecting to Local Files

   • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
   • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

   Connecting to Cloud-Hosted SAS DataSet Files

   While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

   Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

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 Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to 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 10 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 SAS Data Sets data to Google BigQuery.