Automated Continuous BigQuery Replication to IBM DB2
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live BigQuery data into your IBM DB2 instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Configure IBM DB2 as a Replication Destination
Using CData Sync, you can replicate BigQuery data to IBM DB2. To add a replication destination, navigate to the Connections tab.
- Click Add Connection.
- Select the Destinations tab and locate the IBM DB2 connector.
- Click the Configure Connection icon at the end of that row to open the New Connection page. Sync requires the db2jcc.jar driver to connect to your DB2 database. If you have not done so already, make sure to download the native DB2 JDBC driver from DB2 JDBC Driver Versions and Downloads web page.
- Copy the JDBC driver into the lib directory.
- Microsoft Windows: C:\Program Files\CData\CData Sync\lib
- UNIX or Mac OS X: ~/CData/CData Sync/lib
- To connect to IBM DB2, set the following connection properties:
- Connection Name: Enter a connection name of your choice for the IBM DB2 connection.
- Server: Enter either the host name or the IP address of the server that hosts your IBM DB2 instance.
- Port: Enter the port number of the server that hosts your instance of IBM DB2. The default port value is 50000.
- Database: Set this to the database you want to read from and write to.
- User: Set this to the database user.
- Password: Set this to the user's password.
- Once connected, click Create & Test to create, test and save the connection.
You are now connected to IBM DB2 and can use it as both a source and a destination.
NOTE: You can use the Label feature to add a label for a source or a destination.
In this article, we will demonstrate how to load BigQuery data into IBM DB2 and utilize it as a destination.
Configure the BigQuery Connection
You can configure a connection to BigQuery from the Connections tab. To add a connection to your BigQuery account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (BigQuery).
- Configure the connection properties.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
- Click Connect to BigQuery to ensure that the connection is configured properly.
- Click Save & Test to save the 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, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of BigQuery tables you wish to replicate into IBM DB2, and click Add Tasks again.
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 with the help of SQL queries.
Schedule Your Replication
Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at 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 BigQuery data to IBM DB2.
Run the Replication Job
Once all the required configurations are made for the job, select the BigQuery table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.
Free Trial & More Information
Now that you have seen how to replicate BigQuery data into IBM DB2, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!
As always, our world-class Support Team is ready to answer any questions you may have.