Access Live BigQuery Data in Coginiti Pro



Connect to and query live BigQuery data from the GUI in the Coginiti Pro: SQL Analytics Tool.

Coginiti Pro is a single tool for all your SQL data and analytics needs, designed specifically for data engineers, analysts, and data scientists. When paired with the CData JDBC Driver for Google BigQuery, Coginiti Pro can access and query live BigQuery data. This article describes how to connect to and query BigQuery data from Coginiti Pro.

With built-in optimized data processing, the CData JDBC Driver for Google BigQuery offers unmatched performance for interacting with live BigQuery data. When you issue complex SQL queries to BigQuery, the driver pushes supported SQL operations, like filters and aggregations, directly to BigQuery and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). In addition, its built-in dynamic metadata querying allows you to work with and analyze BigQuery data using native data types.

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


Gather Connection Properties and Build a Connection String

Download the CData JDBC Driver for Google BigQuery installer, unzip the package, and run the JAR file to install the driver. Then gather the required 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, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

NOTE: To use the JDBC driver in Coginiti Pro, you may need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

Built-in Connection String Designer

For assistance constructing the JDBC URL, use the connection string designer built into the BigQuery JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.googlebigquery.jar

Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.

Create a JDBC Data Source for BigQuery Data

  1. Open Coginiti Pro and in the File menu, select "Edit Drivers."
  2. In the newly opened wizard, click "Add" and select "Generic."
  3. In the "JDBC Drivers" wizard, set the driver properties (below) and click "Create Driver."

    • Set JDBC Driver Name to a useful name, like CData JDBC Driver for BigQuery.
    • Click "Add Files" to add the JAR file from the "lib" folder in the installation directory (e.g. cdata.jdbc.googlebigquery.jar)
    • Select the Class Name: cdata.jdbc.googlebigquery.GoogleBigQueryDriver.

Create a Connection using the CData JDBC Driver for Google BigQuery

  1. In the File menu, click "Edit Connections."
  2. In the newly opened wizard, click "Add" and select "Generic."
  3. In the "Connections" wizard, set the connection properties.
    • Set Connection name to an identifying name.
    • Set Database JDBC driver to the Driver you configured earlier.
    • Set JDBC URL to the JDBC URL configured using the built-in connection string designer (e.g. jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH
  4. Click "Test" to ensure the connection is configured properly. Click "Save."

Query BigQuery Using SQL

  1. Open the Connections tab by clicking on database icon: .
  2. Click the plus sign () to add a new query tab.
  3. Once the query console is open, write the SQL script you wish to execute and click "Run at Cursor".

    NOTE: You can use the explorer on the left to determine table/view names and column names.

    Using the explorer

    1. In the "Select connection" field, select the connection you wish to query.
    2. Expand your newly created connection, expand the "CData" catalog, and expand the BigQuery catalog.
    3. Expand "Tables" or "Views" to find the entity you wish to query.
    4. Expand your selected entity to explore the fields (columns).

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start working with your live BigQuery data in Coginiti Pro. Reach out to our Support Team if you have any questions.

Ready to get started?

Download a free trial of the Google BigQuery Driver to get started:

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