Here we present newly collected data relating to how much content is uploaded into YouTube each day. While this is not intended to be all inclusive, it illustrates the scale of the problem YouTube is dealing with.
Last updated at 11:59PM, 30-Nov-2009 EST
1700139 titles (64961 hours) of YouTube content was uploaded in the 34 days since 27-Oct-2009
- 488639 titles (24737 hours) of non-English content
[We are working on a new version of the data collector. Meanwhile, the chart has been frozen to show a period that is representative of the volume of uploads YouTube has been handling.]
This chart has the same format as the chart shown on “How Much New Television – Trailing 7 Day”, except the scale of the y axis has been doubled from 70 to 140 hours to allow for reporting the larger numbers. Also, the number of titles and the number of hours uploaded each day is shown at the top of each day’s part of the chart. Two curves are shown, one indicating the total amount of uploaded video and another indicating the amount of uploaded video for other non-English western language groups.
Note that there is a lag between when titles are uploaded and when they are visible on the YouTube site. This can be seen as a steep decline of the curve just to the left of the red line indicating when the table was lasted updated.
Two high level observations: First, the amount of content uploaded to YouTube is not only large in numbers, but also large as measured in hours – nearly an order of magnitude larger than the new content aired on television in the Boston metropolitan area. This is particularly significant since the consumption of YouTube content is approximately two and a half orders of magnitude smaller than the consumption of television. Second, there is much less day part variation in upload rates than we see in the new television content aired in a single metropolitan area. This is in large part due to the global (cross-timezone) nature of YouTube. Including eastern language groups in the study should further amplify this effect.
Acknowledgment
We want to thank our colleague Don Davis (see http://world.std.com/~dtd/) for helping design the data collection and analysis strategy used in this post.
[...] This post was mentioned on Twitter by mrudnick and Wayne Pauley, Wayne Pauley. Wayne Pauley said: @slacloud Just posted a blog on BIG Data in the cloud presented by VideointheCloud from the Silverlining meeting: http://bit.ly/69INzJ [...]