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About Datazoom

Datazoom is an enterprise Video Data Platform technology company that standardizes and enriches data for video teams and their technology partners. Through a variety of real-time data collection software and routing services, the Datazoom’s platform offers flexibility and transparency in data collection so that operations, engineering, product and business decisions can be made with confidence. Companies that drive revenue with video use Datazoom to democratize insight, decrease inefficiencies, and deliver captivating end-user experiences.

Datazoom's Featured Product: Datazoom Video Data Platform

Datazoom captures, standardizes, enriches, and delivers data from across components of the video streaming workflow in real-time. Datazoom is designed for flexibility, extensibility and scalability to support the unique data collection, standardization and routing needs for the streaming video industry. Datazoom is building towards collection, standardization and routing services to address the variety of data structures, data nomenclatures, and data expressions found across telemetry data from End-to-End data pipeline (Video Players, Origins, CDNs, and backend services like Encoding, Transcoding, and Packaging). The platform consists of Collectors that bring data in, Connectors that deliver data out, and Data Pipes that determine which of the collected data points from each Collector should go to which Connector. The platform allows you to have many Data Pipes, and captures the unique set of data requirements once across all pipelines for increased efficiency.

The Real-Time Video Data Platform.

Categories Where You Can Find This Company

This company has products or solutions applicable to the following datatecture categories:

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A Scalable, Real-Time Data Pipeline
With our robust video data pipeline, route standardized video data into any system where it's needed without compromising collection reliability or speed.
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Data Dictionaries
Leverage cleaned, raw, session data that's been standardized to follow our published Data Dictionaries to build video observability, monitoring, alerting and reporting solutions.
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Data Enrichment & Sampling
Data enrichment enables external data to be appended to certain JSON events. Session-based connector sampling controls the volume of data delivered to each endpoint.

A Scalable, Real-Time Data Pipeline

With our robust video data pipeline, route standardized video data into any system where it's needed without compromising collection reliability or speed.

A Scalable, Real-Time Data Pipeline

With our robust video data pipeline, route standardized video data into any system where it's needed without compromising collection reliability or speed.

Data Dictionaries

Leverage cleaned, raw, session data that's been standardized to follow our published Data Dictionaries to build video observability, monitoring, alerting and reporting solutions.

Data Dictionaries

Leverage cleaned, raw, session data that's been standardized to follow our published Data Dictionaries to build video observability, monitoring, alerting and reporting solutions.

Data Enrichment & Sampling

Data enrichment enables external data to be appended to certain JSON events. Session-based connector sampling controls the volume of data delivered to each endpoint.

Data Enrichment & Sampling

Data enrichment enables external data to be appended to certain JSON events. Session-based connector sampling controls the volume of data delivered to each endpoint.

Product Resource

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Stay Up-to-Date on The Streaming Video Datatecture!

 
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

  • Understanding the Datatecture Part 4: Workflow Deep-Dive
    by Jason Thibeault

    In Part four of this series, we dig into some of the deeper layers of the Streaming Video Datatecture in the Workflow category, defining many of the individual sub-categories and explaining their purpose in the broader workflow.   As we covered in the first post of the series, the Datatecture is governed by three main … Understanding the Datatecture Part 4: Workflow Deep-Dive Read More » The post Understanding the Datatecture Part 4: Workflow Deep-Dive 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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