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.

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Platforms

This datatecture group represents outsourced monetization platforms that help manage subscriptions, payments, paywalls, etc.

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The Datazoom Datatecture for Streaming Video and microsite provide free and educational compilations of all of the companies and services involved in the streaming video industry. It provides a deep look into the ecosystem and layout, and explains the technologies that power video streaming. Created by Datazoom, the enterprise video data platform technology company, the goal is to help content owners, technology and service providers, investors, and other stakeholders better understand the data, systems, and leveled architecture that come together to create the data fabric of streaming video.

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Copyright 2021. Datazoom. Inc. All trademarks and logos are owned by their respective companies. Inclusion of a logo in the datatecture is not an endorsement by Datazoom, Inc. nor representative of any relationship between that company and Datazoom, Inc.
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