Connect to YouTube Analytics Data as an External Data Source using PolyBase

PolyBase for SQL Server allows you to query external data by using the same Transact-SQL syntax used to query a database table. When paired with the CData ODBC Driver for YouTube Analytics, you get access to your YouTube Analytics data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live YouTube Analytics data using T-SQL queries.

NOTE: PolyBase is only available on SQL Server 19 and above.

CData Connect AI provides a pure SQL Server interface for YouTube Analytics, allowing you to query data from YouTube Analytics without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to YouTube Analytics, leveraging server-side processing to return the requested YouTube Analytics data quickly.

Configure YouTube Analytics Connectivity for PolyBase

Connectivity to YouTube Analytics from PolyBase is made possible through CData Connect AI. To work with YouTube Analytics data from PolyBase, we start by creating and configuring a YouTube Analytics connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "YouTube Analytics" from the Add Connection panel
👁 Selecting a data source

3. YouTube Analytics uses OAuth to authenticate. Click "Sign in" to authenticate with YouTube Analytics. 👁 Authenticating with OAuth (Salesforce is shown).
   
4. Navigate to the Permissions tab in the Add YouTube Analytics Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to YouTube Analytics data from Polybase.

Create an External Data Source for YouTube Analytics Data

After configuring the connection, you need to create a credential database for the external data source.

Creating a Credential Database

Execute the following SQL command to create credentials for the external data source connected to YouTube Analytics data.

NOTE: Set IDENTITY to your Connect AI username and set SECRET to your Personal Access Token.

CREATE DATABASE SCOPED CREDENTIAL ConnectCloudCredentials
WITH IDENTITY = 'yourusername', SECRET = 'yourPAT';

Create an External Data Source for YouTube Analytics

Execute a CREATE EXTERNAL DATA SOURCE SQL command to create an external data source for YouTube Analytics with PolyBase:

CREATE EXTERNAL DATA SOURCE ConnectCloudInstance
WITH ( 
 LOCATION = 'sqlserver://tds.cdata.com:14333',
 PUSHDOWN = ON,
 CREDENTIAL = ConnectCloudCredentials
);

Create External Tables for YouTube Analytics

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to YouTube Analytics data from your SQL Server instance. The table column definitions must match those exposed by CData Connect AI. You can use the Data Explorer in Connect AI to see the table definition.

👁 Table definition in the Data Explorer (Salesforce is shown)

Sample CREATE TABLE Statement

Execute a CREATE EXTERNAL TABLE SQL command to create the external table(s), using the collation and setting the LOCATION to three-part notation for the connection, catalog, and table. The statement to create an external table based on a YouTube Analytics Groups would look similar to the following.

CREATE EXTERNAL TABLE Groups(
 Snippet_Title COLLATE [nvarchar](255) NULL,
 ContentDetails_ItemCount COLLATE [nvarchar](255) NULL,
 ...
) WITH ( 
 LOCATION='YouTubeAnalytics1.YouTubeAnalytics.Groups',
 DATA_SOURCE=ConnectCloudInstance
);

Having created external tables for YouTube Analytics in your SQL Server instance, you are now able to query local and remote data simultaneously. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your SQL Server database, try CData Connect AI today!