Overview
The Lyftrondata Provider for YouTube Analytics offers the most natural way to access YouTube Analytics data from Lyftrondata with ease and also enables to connect with BI, MDM & ML tools, Data warehouses, Databases and other SAAS based applications with zero code and zero infrastructure requirements. The provider wraps the complexity of accessing YouTube Analytics data into easy-to-integrate relational fully managed ANSI Sql format. Make faster and better business decisions with Lyftrondata’s YouTube Analytics data provider and automatically build your data migration pipelines in minutes, not months.
The provider hides the complexity of accessing data and provides additional powerful security features, smart caching, batching, socket management, and more.
Key Features
- Comprehensive Delta load mechanism.
- Real-time access to YouTube Analytics.
- Comprehensive full support of ANSI Sql to query data with ease.
- Collaborative query processing.
Prerequisites
The user must have credentials for YouTube Analytics, Lyftrondata and your destination data warehouse, lake or database to perform the data pipeline operation with Lyftrondata.
Establishing a Connection with Lyftrondata's Quickstart Steps
Create your YouTube Analytics connection with Lyftrondata by following the 5 easy steps show below:
Step1. Add your connection
Click on Connect section on the left panel → Click on Add Connection button
Step2. Select your connector
In the connector selection panel, search and click YouTube Analytics for your connection
Step3. Enter your connection details
In the Connection String section enter the values of the below parameters. The following connection string is required to establish YouTube Analytics connection with Lyftrondata.
"InitiateOAuth=GETANDREFRESH;ContentOwnerId=MyContentOwnerId;ChannelId=ChannelId;"| Key | Value | Field |
| Connection Name | Enter your connection details | Required |
| InitiateOAuth | GETANDREFRESH | Required |
| ContentOwnerId | MyContentOwnerId | Required |
| ChannelId | ChannelId | Required |
| Logfile** | Use the logfile option to debug your job and provide your connection name to generate the log file. [ConnectionConfigurationPath]\Connection_name_log.tx | Optional |
| Verbosity** | Choose verbosity 1-5 based on the severity of debugging | Optional |
** For more information, check the Lyftrondata logging and debugging section.
If you want more detailed information about how to establish a connection with Lyftrondata, click on Lyftrondata Connection Quick Start guide.
Step4. Test your connection
Once you are done entering your connection details, simply click on the Test Connection button to test the connectivity. In case your connection fails, add Logfile and Verbosity parameters and check the Lyftrondata logging and debugging section, to debug the error.
Step5. Save your connection
Hurray! Now you have successfully connected with the Lyftrondata YouTube Analytics connector and can utilize the connector to Extract, Warehouse, Analyze, Visualize and Share your data.
Data Model
The Lyftrondata Provider for YouTube Analytics models entities in the YouTube Analytics API as tables, views, and stored procedures. These are defined in schema files, which are simple, text-based configuration files.
API limitations and requirements are documented in this section; you can use the SupportEnhancedSQL feature, set by default, to circumvent most of these limitations.
Tables
The Lyftrondata Provider for YouTube Analytics models Item Listings in tables so that they can be easily queried, updated, and deleted. You can list items on your YouTube Analytics store by calling the AddItem stored procedure.
Views
Views are tables that cannot be modified. Typically, read-only data are shown as views.
| Name | Type | Description |
| GroupItems | Tables | Create, delete, and query Items that compose a Group. |
| Groups | Tables | Create, update, delete, and query YouTube Analytics Groups. |
| AdPerformanceReports | Views | Query Ad Performance Reports. Ad Performance Reports provide impression-based metrics for ads that ran during video playbacks. These metrics account for each ad impression, and each video playback can yield multiple impressions. |
| Demographics | Views | Query YouTubeAnalytics Demographics grouped by age groups and gender. |
| Devices | Views | Query YouTubeAnalytics Devices or Operating System statistics. This table allows you to aggregate viewing statistics based on the manner in which viewers reached your video content. For example, you can identify the number of views that occurred on mobile devices or game consoles. |
| EngagementReports | Views | Query Engagement Reports info. For example, how many times a user shared a video. |
| TimeBasedReports | Views | Query time-based info on views, subscribers, etc. For example, how many new subscribers were gained at a specific time. |
| TopVideos | Views | Query the TopVideos for a channel or the TopPlaylists if you are a content owner. You can also use this view to query playback detail and geographic filters. |
| TrafficSources | Views | Query TrafficSources. Statistics are based on the manner in which viewers reached your video and playlist content. |
Advanced Settings
To view a detailed advanced settings options, go to YouTube Analytics Advanced Settings. Complete list of the parameters you can configure in the connection string can be found by clicking Connection String Parameters.