YouTube Analytics ADO.NET Provider
 
ADO.NET
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YouTube Analytics ADO.NET Provider

SQL-based Access to YouTube Analytics through ADO.NET for your custom .NET applications and SSAS.

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The YouTube Analytics ADO.NET Data Provider enables user to easily connect to YouTube Analytics data from .NET applications. Easy-to-use YouTube Analytics client enables .NET-based applications to easily consume YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc.

ADO architecture

YouTube Analytics .NET Connectivity Features

  • Work with a relational model of your YouTube Analytics data based on Dimensions and Metrics
  • Powerful metadata querying enables SQL-like access to non-database sources
  • Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
  • Client-side query execution engine, supports SQL-92 operations that are not available server-side
  • Connect to live YouTube Analytics data, for real-time data access with the YouTube Analytics JDBC Driver
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the YouTube Analytics Connector.

Target Service, API

The driver connects to YouTube Analytics API and YouTube Reporting API. Provides access to analytics data for YouTube channels, videos, and playlists. Supports real-time and historical analytics data.

Schema, Data Model

Tables are dynamically generated based on available YouTube Analytics dimensions and metrics. Supports custom report definitions. Time-based partitioning for efficient queries. Automatic handling of API quotas and rate limits.

Key Objects

Channel statistics, video performance metrics, audience demographics, traffic sources, playback locations, devices, revenue reports (for monetized channels), playlist analytics, real-time statistics, engagement metrics (likes, comments, shares).

Operations

Full SQL support for querying analytics data. Complex filtering by date ranges, videos, geography. Aggregations for custom reporting. JOIN operations between different metric tables. Stored procedures for downloading reports. Batch operations for multiple channels.

Authentication

OAuth 2.0 authentication required. Google account authentication. Service account support for server applications. API key authentication for public data. Refresh token management.

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SSAS Cube
SSAS Cube

Use YouTube Analytics from SQL Server Analysis Service (SSAS) multi-dimensional cubes. Keep your analytical data modeling and access to any source including cloud and on-premises.

Custom .NET Application
Custom .NET Application

The YouTube Analytics ADO.NET Provider allows developers to build applications that connect to YouTube Analytics using familiar SQL and Entity Framework. Integrate YouTube Analytics to your mission -critical applications or create easy side-by-side applications.

Reporting & BI
Low-Code Dev Platforms

You can connect from ADO.NET compliant low-code development tools:

Reporting & BI
Reporting Tools

You can connect YouTube Analytics from .NET-based reporting and analytics tools:

Standard ADO.NET Access to YouTubeAnalytics

The YouTube Analytics ADO.NET Provider offers the most natural way to access YouTube Analytics data from any .NET application. Simply use YouTube Analytics Data Provider objects to connect and access data just as you would access any traditional database. You will be able to use the YouTube Analytics Data Provider through Visual Studio Server Explorer, in code through familiar classes, and in data controls like DataGridView, GridView, DataSet, etc.

The CData ADO.NET Provider for YouTube Analytics 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 YouTube Analytics Data Provider has the same ADO.NET architecture as the native .NET data providers for SQL Server and OLEDB, including: YouTubeAnalyticsConnection, YouTubeAnalyticsCommand, YouTubeAnalyticsDataAdapter, YouTubeAnalyticsDataReader, YouTubeAnalyticsDataSource, YouTubeAnalyticsParameter, etc. Because of this you can now access YouTube Analytics data in an easy, familiar way.

For example:

using (YouTubeAnalyticsConnection conn = new YouTubeAnalyticsConnection("...")) {
	string select = "SELECT * FROM Traffic";
	YouTubeAnalyticsCommand cmd = new YouTubeAnalyticsCommand(select, conn);
	YouTubeAnalyticsDataAdapter adapter = new YouTubeAnalyticsDataAdapter(cmd);
	using (adapter) {
		DataTable table = new DataTable();
		adapter.Fill(table);		
		...
	}
}

More Than Read-Only: Full Update/CRUD Support

YouTube Analytics 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 YouTube Analytics Data Provider as easily as interacting with a database table. 

using (YouTubeAnalyticsConnection connection = new YouTubeAnalyticsConnection(connectionString)) {
	YouTubeAnalyticsDataAdapter dataAdapter = new YouTubeAnalyticsDataAdapter(
	"SELECT Id, Where FROM Traffic", connection);
  
	dataAdapter.UpdateCommand = new YouTubeAnalyticsCommand(
		"UPDATE Traffic SET Where = @Where " +
		"WHERE Id = @ID", connection);

	dataAdapter.UpdateCommand.Parameters.AddWithValue("@Where", "Where");
	dataAdapter.UpdateCommand.Parameters.AddWithValue("@Id", "80000173-1387137645");

	DataTable TrafficTable = new DataTable();
	dataAdapter.Fill(TrafficTable);

	DataRow firstrow = TrafficTable.Rows[0];
	firstrow["Where"] = "New Location";

	dataAdapter.Update(TrafficTable);
}

ADO.NET Provider Performance

With traditional approaches to remote access, performance bottlenecks can spell disaster for applications. Regardless if an application is created for internal use, a commercial project, web, or mobile application, slow performance can rapidly lead to project failure. Accessing data from any remote source has the potential to create these problems. Common issues include:

  1. Network Connections - Slow network connections and latency issues are common in mobile applications.
  2. Service Delays - Delays due to service interruptions, resulting in server hardware or software updates.
  3. Large Data - Intentional or unintentional requests for large amounts of data.
  4. Disconnects - Complete loss of network connectivity.

The CData ADO.NET Provider for YouTube Analytics solves these issues by supporting powerful smart caching technology that can greatly improve the performance and dramatically reduce application bottlenecks.

Smart Caching

Smart caching is a configurable option that works by storing queried data into a local database. Enabling smart caching creates a persistent local cache database that contains a replica of data retrieved from the remote source. The cache database is small, lightweight, blazing-fast, and it can be shared by multiple connections as persistent storage.

Caching with our ADO.NET Providers is highly configurable, including options for:

  • Auto Cache - Maintain an automatic local cache of data on all requests. The provider will automatically load data into the cache database each time you execute a SELECT query. Each row returned by the query will be inserted or updated as necessary into the corresponding table in the cache database.
  • Explicit Cache - Cache only on demand. Developers decide exactly what data gets stored in the cache and when it is updated. Explicit caching provides full control over the cache contents by using explicit execution of CACHE statements.
  • No Cache - All requests access only live data and no local cache file is created.

This powerful caching functionality increases application performance and allows applications to disconnect and continue limited functioning without writing code for additional local storage and/or data serialization/deserialization.

More information about ADO.NET Provider caching and best caching practices is available in the included help files.

Visual Studio Integration & Server Explorer

Working with the new YouTube Analytics ADO.NET Provider is easy. As a fully-managed .NET Data Provider, the YouTube Analytics Data Provider integrates seamlessly with the Visual Studio development environment as well as any .NET application.

As an ADO.NET Data Provider, YouTube Analytics ADO.NET Provider can be used to access and explore YouTube Analytics data directly from the Visual Studio Server Explorer.

It's easy. As a standard ADO.NET adapter, developers can connect the Server Explorer to YouTube Analytics ADO.NET Provider just like connecting to any standard database.

  • Add a new Data Connection from the Server Explorer and select the YouTube Analytics Data Source
  • Configure the basic connection properties to access your YouTube Analytics account data.

Explore all of the data available! YouTube Analytics ADO.NET Provider makes it easy to access live YouTube Analytics data from Visual Studio.

  • After configuring the connection, explore the feeds, views, and services provided by the YouTube Analytics Data Source.
  • These constructs return live YouTube Analytics data that developers can work with directly from within Visual Studio!

Developer Integration: Databind to YouTube Analytics

Connecting Web, Desktop, and Mobile .NET applications with YouTube Analytics is just like working with SQL Server. It is even possible to integrate YouTube Analytics ADO.NET Provider into applications without writing code.

Developers are free to access the YouTube Analytics ADO.NET Provider in whatever way they like best. Either visually through the Visual Studio Winforms or Webforms designers, or directly through code.

  • Developers can connect the YouTube Analytics Data Source directly to form components by configuring the object's smart tags.
  • Add a new Data Connection from the Server Explorer and select the YouTube Analytics Data Source. Then, select the feed, view, or services you would like to connect the object to.

Done! It's just like connecting to SQL Server.

  • Once the object is bound to the data source, applications can easily interact with YouTube Analytics data with full read/write (CRUD) support.

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