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Datazoom Ecosystem Expansion — Snowflake

March 15, 2019

Connecting OTT’s only Data Control Platform with the first Enterprise Data Warehouse built for the Cloud

Snowflake, a powerful next-generation data warehouse, is growing in popularity among video distributors. Using an innovative, cloud-based approach for designing an enterprise data warehouse, Snowflake offers a low-maintenance, scalable, and drama-free solution which frees IT and Data Science teams to focus on operations and number crunching and not administration.

With a growing proportion of video distributors (and the video technology vendors which support them) seeking a flexible cloud warehouse to bolster their OTT operations, we’ve designed a way to deliver any data flowing over Datazoom’s Data Pipes into Snowflake. Datazoom’s AWS S3 Connectorfacilitates this data flow, and with a simple 5-minute credential validation Snowflake customers can route normalized video event, metadata, and FluxData into a powerful data warehouse for permanent storage and further analysis.

With Datazoom + Snowflake, video data can be captured with superior quality and at a scale never before seen to facilitate data storage and sharing in a few easy clicks from our UI. Moreover, for organizations looking to leverage new technology that are underpinned by artificial intelligence and machine learning in their online video operations, this powerful coupling of technologies provides the stable foundation that required to ground this task. This is all possible thanks to this collaboration, which provides a capable and intuitive capture, routing & storage infrastructure for data.

Want to learn more about Datazoom’s integration with Snowflake? Click here to schedule a call with our team, and discover how you can support your online video strategy with the first Data Control Platform dedicated to streaming media.

Originally published on Medium, October 19, 2018.

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Datazoom Ecosystem Expansion — New Relic Insights for Streaming Video

March 15, 2019


New Relic Insights
 is among the most widely used analytics tools available to developers for monitoring the performance of the software they use to grow and expand their business. Datazoom is proud to include New Relic technology in our growing ecosystem of “Connectors” available in our Adaptive Video Logistics platform to help OTT and IPTV distributors track the performance of their online video operations.

With an expansive array of dashboards available to monitor operations at an application level, the integration with Datazoom provides SDK-free enablement for New Relic Insights metrics via Datazoom’s centralized data capture and routing platform.

New Relic users can now leverage Datazoom’s one-time, one line, copy+paste integration to cut code from their video player and enhance the width of data available to the Insights platform. Datazoom Data Pipes make it easier than ever to precisely manage which data is passed on to New Relic, and customize data flows on-the-fly for cost control and more holistic QoE measurement.

Supported Collectors available within the New Relic <> Datazoom integration are constantly expanding, making now the perfect time to demo Datazoom’s Data Pipes. It’s time to take control of your data and develop a true data strategy, and it can start with Datazoom!

Originally posted to Medium, October 3, 2018.

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Announcing custom data point support

April 17, 2019

At NAB, we unveiled a new way for you to make your Datazoom integration even more valuable.

Now you can use our video data infrastructure platform to collect any custom events and metadata from applications and webpages configured with a supported Collector.

This new feature makes operationalizing your video data even more efficient, providing a way to track user engagement across your properties at every step before, during, and after playback experiences to gain unprecedented, contextualized, insights into audience behavior.  

Getting started is as easy as creating an account, configuring Datazoom on a player-baring webpage or app, and defining your custom data settings. Then Datazoom will correlate it with the other real-time, raw player data we already capture. No other configurations required.

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