Powerful Google BigQuery Application Integration
The CData ADO.NET Provider for Google BigQuery gives developers the power to easily connect .NET applications to Google BigQuery datasets and tables! The Google BigQuery Data Provider makes these Google BigQuery services look like SQL tables in your applications. With the CData ADO.NET Provider for Google BigQuery developers can simply DataBind to data, just like using SQL Server. 1-2-3 Easy Steps to Google BigQuery IntegrationConnecting .NET applications to Google BigQuery has never been easier. The Google BigQuery Data Provider offers complete read-append access to Google BigQuery, through an easy to use Data Provider interface that every .NET developer is familiar with.
The Google BigQuery Data Provider effectively makes Google BigQuery look exactly like a traditional database to your applications. If you want to integrate your applications with Google BigQuery and you have ever written Transact-SQL, then Google BigQuery Data Provider is definitely for you! Using the Google BigQuery Data ProviderThe Google BigQuery Data Provider wraps the complexity of accessing Google BigQuery services in an easy-to-integrate, fully-managed ADO.NET Data Provider. Applications then access Google BigQuery through the Google BigQuery Data Provider with simple Transact-SQL. The CData ADO.NET Provider for Google BigQuery hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more. Working with DataAdapters, DataSets, DataTables, etc.The Google BigQuery Data Provider has the same ADO.NET architecture as the native .NET data providers for SQL Server and OLEDB including: Google BigQueryConnection, Google BigQueryCommand, Google BigQueryDataAdapter, Google BigQueryDataReader, Google BigQueryDataSource, Google BigQueryParameter, etc. Because of this you can now access Google BigQuery data in an easy, familiar way. More Than Read-Only: Full Update/CRUD SupportGoogle BigQuery Data Provider goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Google BigQuery Data Provider as easily as interacting with a database table.
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