Using Google BigQuery Connector in ODBC application

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To use Google BigQuery Connector you will have to download & install ODBC PowerPack. There are two versions of ODBC PowerPack to download: TRIAL and FULL.

Download ODBC PowerPack

Download TRIAL VERSION  if you are trying it out (30-days fully functional product).

or

Download FULL VERSION  if you already have purchased the product.

Install ODBC PowerPack

By installing ODBC PowerPack you will install ZappySys Drivers, together with ZappySys API Driver which contains Google BigQuery Connector. Installing ODBC PowerPack is pretty straightforward. Installing a TYPICAL version will install all components needed for Google BigQuery Connector to work. So, you will be able to use ZappySys SSIS PowerPack connectors with each version of SQL Server.

Video Tutorial - Integrate Google BigQuery data

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

• How to download / install required driver for Google BigQuery integration
• How to configure connection for Google BigQuery
• Features about Google BigQuery Driver (Authentication / Query Language / Examples / Driver UI)
• Using Google BigQuery Connector

Key features of the ZappySys API Driver include:

The API ODBC driver facilitates the reading and writing of data from numerous popular online services (refer to the complete list here) using familiar SQL language without learning complexity of REST API calls. The driver allows querying nested structure and output as a flat table. You can also create your own ODBC / Data Gateway API connector file and use it with this driver.

1. Intuitive Configuration: The interface is designed to be user-friendly, enabling users to easily set up the specific API endpoints within Google BigQuery without requiring extensive technical expertise or programming knowledge.

2. Customizable Endpoint Setup: Users can conveniently configure the API endpoint settings, including the HTTP request method, endpoint URL, and any necessary parameters, to precisely target the desired data within Google BigQuery.

3. Data Manipulation Capabilities: The ZappySys API Driver allows for seamless data retrieval and writing, enabling users to fetch data from Google BigQuery and perform various data manipulation operations as needed, all through an intuitive and straightforward interface.

4. Secure Authentication Integration: The driver provides secure authentication integration, allowing users to securely connect to the Google BigQuery API by inputting the necessary authentication credentials, such as API tokens or other authentication keys.

5. Error Handling Support: The interface is equipped with comprehensive error handling support, ensuring that any errors or exceptions encountered during the data retrieval or writing process are efficiently managed and appropriately communicated to users for prompt resolution.

6. Data Visualization and Reporting: The ZappySys API Driver facilitates the seamless processing and presentation of the retrieved data from Google BigQuery, enabling users to generate comprehensive reports and visualizations for further analysis and decision-making purposes.

Overall, the ZappySys API Driver serves as a powerful tool for streamlining the integration of applications with Google BigQuery, providing users with a convenient and efficient way to access and manage data, all through a user-friendly and intuitive interface.

Conclusion