Datazoom Blog

Welcome to the Datazoom blog: stories, thoughts, product features, and more.

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Musings & Thoughts

Check out some of the interesting articles, insightful pondering, and technological ramblings of Datazoom staff. Datazoom blogs cover a broad range of topics from thoughts on the structure of video data to how you might specify your own metrics. If you are more interested in technical topics, from our engineers, architects, and developers, check out the Datazoom Tech Blog.

Jason Thibeault July 23, 2021

Understanding the Datatecture Part 4: Workflow Deep-Dive

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…

workflow
Jason Thibeault May 27, 2021

Understanding the Datatecture Part 2: Operations Deep-Dive

In this second post of this series, we dig into some of the deeper layers of the Streaming Video Datatecture in the Operations category, defining many of the individual sub-categories, and explaining their purpose in…

operations
Jason Thibeault May 24, 2021

CDN Management: The Secret to the Future Success of Streaming Video Platforms

Content delivery networks (CDN) are critical to the success of streaming platforms. Without their huge networks and experienced engineers, streaming video experiences might be spotty at best. Resilience, consistency, scalability… achieving those streaming platform attributes…

CDN

Understanding the Datatecture Part 4: Workflow Deep-Dive

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 3: Video Infrastructure Deep-Dive

In Part three of this series, we dig into some of the deeper layers of the Streaming Video Datatecture in the Infrastructure 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 categories:

Understanding the Datatecture Part 2: Operations Deep-Dive

In this second post of this series, we dig into some of the deeper layers of the Streaming Video Datatecture in the Operations category, defining many of the individual sub-categories, and explaining their purpose in the broader workflow.   Just a reminder, as we covered in the first post of this series, the Datatecture is

CDN Management: The Secret to the Future Success of Streaming Video Platforms

Content delivery networks (CDN) are critical to the success of streaming platforms. Without their huge networks and experienced engineers, streaming video experiences might be spotty at best. Resilience, consistency, scalability… achieving those streaming platform attributes requires the use of multiple CDNs. But managing multiple delivery networks is hard enough when they all provide their own

Why Video Data Telemetry is Critical to DevOps Success (And How to Get It)

DevOps has been a revolution in software development. To support agile methodologies, in which developers can incrementally release features that are tested by users in real-time, developers needed to have an increasingly larger role in operationally supporting their code. Waiting for operations to make configuration changes to environments or push out new code didn’t support

Understanding the Datatecture Part 1: The Core Categories

The relationship of technologies within the streaming video stack is complex. Although there might seem to be a linear progression of components, from content acquisition to playback, in many workflows, the connection between the technologies is often far from such. Data from one piece of technology may be critical for another to function optimally. APIs

Observability: The Mindset And Resources OTT Must Bring Onboard To Achieve It

The Growth of OTT Demands a New Mindset From Streaming Providers Streaming has grown immensely over the past 12 months. Viewing time for U.S. streaming services are 50 percent above 2019 levels in June, likely the result of services launched before and during the pandemic, including Apple TV+, Disney+, HBO Max (AT&T), and Peacock (Comcast).

Don’t Let Video Analytics Keep You From Seeing the Bigger Picture

Are You Seeing the Forest For the Trees? If you talk to streaming operators in the industry about what video data is important, they will often talk about QoE metrics: rebuffer ratio, time-to-first byte, cache-hit ratio. And, yes, those metrics are definitely important. But just having access to that player-level video analytics isn’t entirely helpful.

A Video Data Platform First, Analytics Second

It’s becoming more generally accepted in the streaming video industry that having more data can provide greater insight. With better graphs, better algorithms, better analytics, more improvements can be made. As such, many streaming operators look for new tools or providers to make more data from their technology stack available. However, the result can be

Increase Engagement and Stickiness

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? At

Use Streaming Data To Increase the Value of Your Advertising

This is the fifth blog in a series about how video streaming data, pulled from various parts of the workflow, can support business goals. The following post will explore how to employ data from within the workflow to increase subscriber engagement and stickiness. Of course, increasing the number of ad impressions is a priority for

Increasing Content Consumption

This is the third 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 next post will look at the relationship of streaming data to core business objectives of generating revenue. There are a number of reasons why this is

Understanding Video Exits

This is the second 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 next post will look at ways to increase the amount of content streamed and how that can align to KPIs for advertising and stickiness. Perhaps one

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