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.

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Read about the different levels of the datatecture and how they all fit together to create the data fabric of streaming video.

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

Data Warehouse

This group of the datatecture represents companies that offer data warehouse solutions. With the amount of data produced by streaming video components, both within the network and outside (such as third-party providers, like CDNs, and the player itself), a data warehouse is critical to ensuring scalable access to the data that is integral to platform operation.

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