Datazoom's powerful Data Dictionaries are the standard schemas we use to normalize every data point captured by our Collectors. This standardization allows analysts to easily build cross-platform metrics in a consistent manner despite being sourced from multiple video players. By bringing these disparate data sets together under a common Data Dictionary, Datazoom empowers companies to easily leverage the power of your data to improve video playback experiences.
If the next request will be a partial object request, then this string denotes the byte range to be requested. If the ‘nor’ field is not set, then the object is assumed to match the object currently being requested. The client SHOULD NOT depend upon any pre-fetch action being taken – it is merely a request for such a pre-fetch to take place. Formatting is similar to the HTTP Range header, except that the unit MUST be ‘byte’, the ‘Range:’ prefix is NOT required and specifying multiple ranges is NOT allowed. Valid combinations are:
The Data Dictionary is designed to collect raw behavioral and system event data that can be used to generate many popular video streaming quality of experience metrics. Check out Datazoom's Metrics Encyclopedias for more information about how the power of Datazoom's Data Dictionary can power your streaming video analysis.
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