A YouTube Analytics is a group that is set of collection of up to 500 channels, videos, playlists, or assets. It aggregate data from competitor specific accounts, videos, and subscribers. As a generator, you can enable to detect the best time to publicize a video, how to increase the engagement of your subscribers, and the interests of the audience by viewing other channel analytics. For better understand your video and channel performance with key metrics and reports in YouTube Studio you can use analytics.
Starburst Data is a data access and analytics company that offers a cloud-native, SQL-based query engine called Presto. Their mission is to enable organizations to access and analyze data across various sources efficiently and at scale. Starburst Data provides an enterprise-grade platform that leverages the power of Presto to query data residing in different databases, data lakes, and cloud storage systems, eliminating data silos and accelerating insights. With a focus on performance, security, and ease of use, Starburst Data empowers businesses to unlock the value of their data, enabling faster decision-making and advanced analytics capabilities.
1. Go to the YouTube Analytics website and sign in to your account.
2. Click on your profile picture in the top right corner and select "YouTube Studio".
3. In the left-hand menu, click on "Settings" and then "Channel".
4. Scroll down to the "Advanced settings" section and click on "View API key".
5. Click on "Create API key" and copy the key that is generated.
6. Go to the Airbyte dashboard and click on "Sources" in the left-hand menu.
7. Click on "New Source" and select "YouTube Analytics" from the list of available connectors.
8. Enter a name for your source and paste the API key you copied earlier into the "API Key" field.
9. Click on "Test Connection" to ensure that the credentials are valid and the connection is successful.
10. Once the connection is successful, click on "Create Source" to save your settings and start syncing your data.
1. First, navigate to the connectors page on Airbyte and select the Starburst Galaxy destination connector.
2. Next, enter the required credentials for your Starburst Galaxy account, including the host, port, database name, username, and password.
3. Once you have entered your credentials, click on the "Test Connection" button to ensure that the connection is successful.
4. If the connection is successful, you can then configure the settings for your destination connector, including the table name, schema, and any additional options.
5. After configuring your settings, you can then run a sync to transfer data from your source connector to your Starburst Galaxy destination.
6. You can monitor the progress of your sync and view any errors or warnings that may occur during the transfer process.
7. Once the sync is complete, you can then view your data in your Starburst Galaxy database and use it for analysis or other purposes.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
YouTube Analytics API provides access to a wide range of data related to YouTube channels and videos. The API allows developers to retrieve data on channel performance, video engagement, and audience demographics. Here are the categories of data that the YouTube Analytics API provides:
1. Channel data: This includes data related to the channel's views, subscribers, and watch time.
2. Video data: This includes data related to individual videos, such as views, likes, dislikes, comments, and shares.
3. Audience data: This includes data related to the demographics of the channel's audience, such as age, gender, and location.
4. Playback locations: This includes data related to where the videos are being played, such as on YouTube, embedded on other websites, or on mobile devices.
5. Traffic sources: This includes data related to how viewers are finding the channel's videos, such as through search, suggested videos, or external websites.
6. Ad performance: This includes data related to the performance of ads on the channel, such as impressions, clicks, and revenue.
7. Engagement data: This includes data related to how viewers are engaging with the channel's videos, such as watch time, average view duration, and audience retention.