CData SSIS Components for Google BigQuery

Overview

The CData SSIS Components for Google BigQuery enable you to connect SQL Server with Google BigQuery data through SSIS workflows. The components wrap the complexity of accessing Google BigQuery data in standard SSIS data flow components.

The components abstract the underlying data source into tables, views, and stored procedures that can be used to retrieve and update data. You can then connect and synchronize Google BigQuery tables with SQL Server tables.

The components hide the complexity of accessing data and provide additional security features, batching, socket management, and more.

Key Features

• Create, read, update, and delete (CRUD) support.
• Query Processing.
• Access Google BigQuery data in real time.
• Integrate Google BigQuery data without the need for custom development.

Getting Started

Getting Started covers Establishing a Connection with the Connection Manager and selecting rows Using the Source Component, and making changes Using the Destination Component. See the Google BigQuery integration guides for information on connecting from other applications.

Advanced Features

Advanced Features details additional features supported by the component, such as defining user defined views, ssl configuration, remoting, firewall/proxy settings, and advanced logging.

SQL Compliance

See SQL Compliance for a syntax reference and code examples outlining the supported SQL.

Data Model

See Data Model to find more information on how the component models the Google BigQuery APIs as tables, views, and stored procedures.

Connection Properties

The Connection properties describe the various options that can be used to establish a connection.