![]() |
VOOZH | about |
Blazor is a framework for developing modern, client-side web UIs using .NET technology. Instead of coding in JavaScript, developers can use the familiar C# language and .NET libraries to build app UIs.
The CData ADO.NET Provider for Google BigQuery can be used with standard ADO.NET interfaces, such as LINQ and Entity Framework, to interact with live BigQuery data. Since Blazor supports .NET Core, developers can use CData ADO.NET Providers in Blazor apps. In this article, we will guide you to build a simple Blazor app that talks to BigQuery using standard SQL queries.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
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
CData ADO.NET Providers allow users to access BigQuery just like they would access SQL Server, using simple SQL queries.
Install the BigQuery ADO.NET Data Provider from the CData website or from NuGet. Search NuGet for "BigQuery ADO.NET Data Provider."
๐ Install ADO.NET BigQuery Provider from NuGet.Start by creating a Blazor project that references the CData ADO.NET Provider for Google BigQuery
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.
For example: DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH;
@page "/"
@using System.Data;
@using System.Data.CData.GoogleBigQuery;
<h1>Hello, world!</h1>
Welcome to your Data app.
<div class="row">
<div class="col-12">
@using (GoogleBigQueryConnection connection = new GoogleBigQueryConnection(
"DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH;"))
{
var sql = "SELECT OrderName, Freight FROM Orders";
var results = new DataTable();
GoogleBigQueryDataAdapter dataAdapter = new GoogleBigQueryDataAdapter(sql, connection);
dataAdapter.Fill(results);
<table class="table table-bordered">
<thead class="thead-light">
<tr>
@foreach (DataColumn item in results.Rows[0].Table.Columns)
{
<th scope="col">@item.ColumnName</th>
}
</tr>
</thead>
<tbody>
@foreach (DataRow row in results.Rows)
{
<tr>
@foreach (var column in row.ItemArray)
{
<td>@column.ToString()</td>
}
</tr>
}
</tbody>
</table>
}
</div>
</div>
At this point, you have a BigQuery-connected Blazor app, capable of working with live BigQuery data just like you would work with a SQL Server instance. Download a free, 30-day trial and start working with live BigQuery data in your Blazor apps today.
Download a free trial of the Google BigQuery Data Provider to get started:
Download NowLearn more:
๐ Google BigQuery IconRapidly create and deploy powerful .NET applications that integrate with Google BigQuery data including Tables and Datasets.