The Streaming Video Datatecture

A deep look into the data ecosystem of streaming video

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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

Streaming Video Datatecture

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 Datatecture Category

Identity and Attribution

In this group of the datatecture, companies provide platforms and technologies which work to uniquely identify users and attribute to them specific actions (such as clicking or watching an ad). This can help mitigate fraud caused by bots and even provide activity buyers with much granular understanding of their potential customers’ behavior.

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The Streaming Video Datatecture 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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Datazoom The Video Data Platform

  • Increase Engagement and Stickiness
    by Jason Thibeault

    This is the sixth and final blog in a series talking about how video streaming data, pulled from various parts of the workflow, can be used to support business goals. The following article will focus on increasing subscriber engagement and stickiness.   Do you know how much content your viewers are watching? On what device? The post Increase Engagement and Stickiness appeared first on Datazoom.

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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