YouTube is the world’s largest video-sharing website. While anyone can upload content to YouTube, businesses can take it to the next level by creating their own channel, where viewers can subscribe to watch videos, view playlists, and participate in discussions.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your YouTube data to Amazon Redshift
Load your YouTube data to Google BigQuery
ETL all your YouTube data to Snowflake
Move your YouTube data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
YouTube's End Points
You can both create your own YouTube channel and follow other channels from your homepage. Viewing channel information can help you better understand a business’ interests, industry, and social networks.
Explore and analyze the activities that users have taken on a specific channel. These can include things like rating a video, sharing a video, or marking a video as a favorite. Use this information to better understand user interests and the content effectiveness.
Subscribing to a YouTube channel allows you to stay on top of that channel’s new content. Viewing a channel’s subscriptions can also help you better understand key information about your target demographic.
With playlists, you can group similar videos together, giving users straightforward access to content they may be interested in. Monitor popular playlists to better understand audience behavior and interests.
Post, view, and search individual videos based on things like content, titles, and views. Monitor clicks, views, likes, and shares to better understand and target your content.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.