The Datazoom Datatecture for streaming video
A deep look into the data ecosystem of streaming video
The Datazoom Datatecture
The Datazoom Datatecture is a hierarchical look at the data ecosystem of the streaming video technology stack. These are the vendors that provide services as part of a streaming video architecture and, as such, throw off data that can be used for troubleshooting and improving the viewer experience.
Breaking down the Datazoom Datatecture for
Streaming Video
Infrastructure
This portion of the datatecture represents companies who offer services and technologies that are fundamental to streaming activities such as IaaS, compute resources, databases, and storage.
Operations
This portion of the datatecture represents companies who largely provide services to collect, analyze, and visualize data from within the streaming technology stack and user engagement with the content.
Workflow
This portion of the datatecture represents companies and technologies that are core to the very business of streaming encompassing everything from encoding and content transformation to delivery and monetization.
Spotlight Datazoom Datatecture Category
Video Quality Assurance
Companies within this group of the datatecture provide services or technologies for streaming operators to assess the visual quality of content as it is transformed (i.e., encoded, transcoded, and packaged) throughout the workflow. Often times, this analysis is encapsulated in a score which allows the operator to compare output content with the original version.
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